diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml new file mode 100644 index 0000000..9149788 --- /dev/null +++ b/.github/workflows/docs.yml @@ -0,0 +1,49 @@ +name: Deploy to aws + +on: + push: + branches: + - main + +jobs: + deploy: + runs-on: ubuntu-latest + + steps: + - name: Checkout code + uses: actions/checkout@v3 + + - name: Setup Node.js + uses: actions/setup-node@v3 + with: + node-version: "20" + + - name: Setup pnpm + uses: pnpm/action-setup@v2.4.0 + + - name: Cache pnpm modules + uses: actions/cache@v3 + env: + cache-name: cache-pnpm-modules + with: + path: ~/.pnpm-store + key: cache-pnpm-modules-key + + - name: Change directory + run: cd www + + - name: Install dependencies + run: pnpm i --no-frozen-lockfile + + - name: Configure AWS credentials + uses: aws-actions/configure-aws-credentials@v2 + with: + aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} + aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} + aws-region: us-west-2 + + - name: Setup sst + run: curl -fsSL https://ion.sst.dev/install | bash + + - name: Deploy + run: NO_BUN=true sst deploy --stage production diff --git a/.gitignore b/.gitignore index e7aebee..e6b3704 100644 --- a/.gitignore +++ b/.gitignore @@ -14,7 +14,6 @@ dist/ downloads/ eggs/ .eggs/ -lib/ lib64/ parts/ sdist/ @@ -99,4 +98,6 @@ ENV/ .mypy_cache/ .idea/ -.DS_Store \ No newline at end of file +.DS_Store + +node_modules/ diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..cc5a352 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,3 @@ +{ + "python.analysis.typeCheckingMode": "off" +} diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md index a992cdc..e63f0cf 100644 --- a/DEVELOPMENT.md +++ b/DEVELOPMENT.md @@ -2,17 +2,10 @@ ## Quick start -Conda package manager is recommended. Create a conda environment. +Global Install poetry with pipx or another: ```bash -conda create -n denser-retriever python==3.10 -``` - -Activate conda environment and install poetry - -```bash -conda activate denser-retriever -pip install poetry +pipx install poetry ``` Then you can run the client using the following command: diff --git a/README.md b/README.md index d59ad33..0a04a74 100644 --- a/README.md +++ b/README.md @@ -53,8 +53,8 @@ python -m pytest tests After that, you can launch a simple end-to-end [streamlit](https://streamlit.io/) app with the retriever indices built from the above unit tests. ```shell -streamlit run examples/denser_chat.py -streamlit run examples/denser_search.py +poetry run streamlit run examples/denser_chat.py +poetry run streamlit run examples/denser_search.py ``` To evaluate retrievers' accuracy on [mteb](https://github.com/embeddings-benchmark/mteb) benchmark datasets, you can run the following command. This command evaluates the baselines of elasticsearch, vector and reranker approaches and reports the NDCG@10 scores on the test data. In addition, it uses the mteb training data to train a xgboost classifier to effectively combine the scores of elasticsearch, vector and reranker. Finally, the classifier is used to generate ranked results and the NDCG@10 score of the ranked results is also reported. diff --git a/denser_retriever/reranker.py b/denser_retriever/reranker.py index 9fbd369..bce46da 100644 --- a/denser_retriever/reranker.py +++ b/denser_retriever/reranker.py @@ -1,6 +1,7 @@ -from sentence_transformers import CrossEncoder import copy +from sentence_transformers import CrossEncoder + class Reranker: def __init__(self, rerank_model): diff --git a/denser_retriever/retriever.py b/denser_retriever/retriever.py index 707f470..69b679f 100644 --- a/denser_retriever/retriever.py +++ b/denser_retriever/retriever.py @@ -1,6 +1,8 @@ +import os from abc import ABC, abstractmethod + import yaml -import os + class Retriever(ABC): """ @@ -32,7 +34,6 @@ def __init__(self, index_name, config_file): if not os.path.exists(self.exp_dir): os.makedirs(self.exp_dir) - @abstractmethod def ingest(self, data): pass diff --git a/denser_retriever/retriever_elasticsearch.py b/denser_retriever/retriever_elasticsearch.py index a5ae2ce..5423049 100644 --- a/denser_retriever/retriever_elasticsearch.py +++ b/denser_retriever/retriever_elasticsearch.py @@ -122,14 +122,9 @@ def retrieve(self, query_text, meta_data, query_id=None): } } }, - { - "match": { - "content": query_text - } - } + {"match": {"content": query_text}}, ], - "must": [ - ] + "must": [], } }, "_source": True, @@ -139,14 +134,16 @@ def retrieve(self, query_text, meta_data, query_id=None): category_or_date = meta_data.get(field) if category_or_date: if isinstance(category_or_date, tuple): - query_dict["query"]["bool"]["must"].append({ - "range": { - field: { - "gte": category_or_date[0], - "lte": category_or_date[1] if len(category_or_date) > 1 else category_or_date[0] + query_dict["query"]["bool"]["must"].append( + { + "range": { + field: { + "gte": category_or_date[0], + "lte": category_or_date[1] if len(category_or_date) > 1 else category_or_date[0], + } } } - }) + ) else: query_dict["query"]["bool"]["must"].append({"term": {field: category_or_date}}) @@ -172,17 +169,17 @@ def get_index_mappings(self): mapping = self.es.indices.get_mapping(index=self.index_name) # The mapping response structure can be quite nested, focusing on the 'properties' section - properties = mapping[self.index_name]['mappings']['properties'] + properties = mapping[self.index_name]["mappings"]["properties"] # Function to recursively extract fields and types - def extract_fields(fields_dict, parent_name=''): + def extract_fields(fields_dict, parent_name=""): fields = {} for field_name, details in fields_dict.items(): full_field_name = f"{parent_name}.{field_name}" if parent_name else field_name - if 'properties' in details: - fields.update(extract_fields(details['properties'], full_field_name)) + if "properties" in details: + fields.update(extract_fields(details["properties"], full_field_name)) else: - fields[full_field_name] = details.get('type', 'notype') # Default 'notype' if no type is found + fields[full_field_name] = details.get("type", "notype") # Default 'notype' if no type is found return fields # Extract fields and types @@ -196,15 +193,15 @@ def get_categories(self, field, topk): "all_categories": { "terms": { "field": field, - "size": 1000 # Adjust this value based on the expected number of unique categories + "size": 1000, # Adjust this value based on the expected number of unique categories } } - } + }, } response = self.es.search(index=self.index_name, body=query) # Extract the aggregation results - categories = response['aggregations']['all_categories']['buckets'] + categories = response["aggregations"]["all_categories"]["buckets"] if topk > 0: categories = categories[:topk] - res = [category['key'] for category in categories] - return res \ No newline at end of file + res = [category["key"] for category in categories] + return res diff --git a/denser_retriever/retriever_general.py b/denser_retriever/retriever_general.py index e9cd954..2aba567 100644 --- a/denser_retriever/retriever_general.py +++ b/denser_retriever/retriever_general.py @@ -1,6 +1,5 @@ import time - from denser_retriever.reranker import Reranker from denser_retriever.retriever import Retriever from denser_retriever.retriever_elasticsearch import RetrieverElasticSearch @@ -11,7 +10,6 @@ class RetrieverGeneral(Retriever): - def __init__(self, index_name, config_file): super().__init__(index_name, config_file) self.retrieve_type = "general" @@ -19,7 +17,11 @@ def __init__(self, index_name, config_file): RetrieverElasticSearch(index_name, config_file) if self.config["keyword_weight"] > 0 else None ) self.retrieverMilvus = RetrieverMilvus(index_name, config_file) if self.config["vector_weight"] > 0 else None - self.reranker = Reranker(self.config["rerank"]["rerank_model"]) if self.config["rerank_weight"] > 0 else None + self.reranker = ( + Reranker(self.config["rerank"]["rerank_model"], self.out_reranker) + if self.config["rerank_weight"] > 0 + else None + ) def ingest(self, doc_or_passage_file): # import pdb; pdb.set_trace() @@ -55,11 +57,10 @@ def retrieve(self, query, meta_data, query_id=None): logger.info(f"Rerank time: {rerank_time_sec:.3f} sec.") if len(passages) > self.config["rerank"]["topk"]: - passages = passages[:self.config["rerank"]["topk"]] + passages = passages[: self.config["rerank"]["topk"]] docs = aggregate_passages(passages) return passages, docs - def get_field_categories(self, field, topk): - return self.retrieverElasticSearch.get_categories(field, topk) \ No newline at end of file + return self.retrieverElasticSearch.get_categories(field, topk) diff --git a/denser_retriever/retriever_milvus.py b/denser_retriever/retriever_milvus.py index 9cb6a26..b665a64 100644 --- a/denser_retriever/retriever_milvus.py +++ b/denser_retriever/retriever_milvus.py @@ -55,14 +55,15 @@ def create_index(self): for key in self.field_types: internal_key = self.field_internal_names[key] # both category and date type (unix timestamp) use INT64 type - fields.append(FieldSchema(name=internal_key, dtype=DataType.INT64, max_length=self.field_max_length),) + fields.append( + FieldSchema(name=internal_key, dtype=DataType.INT64, max_length=self.field_max_length), + ) self.field_cat_to_id[key] = {} self.field_id_to_cat[key] = [] schema = CollectionSchema(fields, "Milvus schema") self.index = Collection(self.index_name, schema, consistency_level="Strong") - def connect_index(self): connections.connect( "default", @@ -85,7 +86,9 @@ def connect_index(self): for key in self.field_types: internal_key = self.field_internal_names[key] # both category and date type (unix timestamp) use INT64 type - fields.append(FieldSchema(name=internal_key, dtype=DataType.INT64, max_length=self.field_max_length), ) + fields.append( + FieldSchema(name=internal_key, dtype=DataType.INT64, max_length=self.field_max_length), + ) schema = CollectionSchema(fields, "Milvus schema") self.index = Collection(self.index_name, schema, consistency_level="Strong") @@ -95,7 +98,7 @@ def connect_index(self): output_prefix = self.config["output_prefix"] exp_dir = os.path.join(output_prefix, f"exp_{self.index_name}") fields_file = os.path.join(exp_dir, "milvus_fields.json") - with open(fields_file, 'r') as file: + with open(fields_file, "r") as file: self.field_cat_to_id, self.field_id_to_cat = json.load(file) def generate_embedding(self, passages): @@ -125,15 +128,15 @@ def ingest(self, doc_or_passage_file, batch_size): if category_or_date_str: type = self.field_types[field]["type"] if type == "date": - date_obj = datetime.strptime(category_or_date_str, '%Y-%m-%d') + date_obj = datetime.strptime(category_or_date_str, "%Y-%m-%d") unix_time = int(date_obj.timestamp()) fieldss[i].append(unix_time) - else: # categorical + else: # categorical if category_or_date_str not in self.field_cat_to_id[field]: self.field_cat_to_id[field][category_or_date_str] = len(self.field_cat_to_id[field]) self.field_id_to_cat[field].append(category_or_date_str) fieldss[i].append(self.field_cat_to_id[field][category_or_date_str]) - else: # missing category value + else: # missing category value fieldss[i].append(-1) record_id += 1 if len(batch) == batch_size: @@ -179,8 +182,10 @@ def ingest(self, doc_or_passage_file, batch_size): if not os.path.exists(exp_dir): os.makedirs(exp_dir) fields_file = os.path.join(exp_dir, "milvus_fields.json") - with open(fields_file, 'w') as file: - json.dump([self.field_cat_to_id, self.field_id_to_cat], file, ensure_ascii=False, indent=4) # 'indent' for pretty printing + with open(fields_file, "w") as file: + json.dump( + [self.field_cat_to_id, self.field_id_to_cat], file, ensure_ascii=False, indent=4 + ) # 'indent' for pretty printing def retrieve(self, query_text, meta_data, query_id=None): if not self.index: @@ -212,8 +217,12 @@ def retrieve(self, query_text, meta_data, query_id=None): "params": {"nprobe": 10}, } result = self.index.search( - query_embedding, "embeddings", search_params, limit=self.config["vector"]["topk"], expr=expr_str, - output_fields=["source", "title", "text", "pid"] + list(self.field_internal_names.values()) + query_embedding, + "embeddings", + search_params, + limit=self.config["vector"]["topk"], + expr=expr_str, + output_fields=["source", "title", "text", "pid"] + list(self.field_internal_names.values()), ) topk_used = min(len(result[0]), self.config["vector"]["topk"]) @@ -230,10 +239,10 @@ def retrieve(self, query_text, meta_data, query_id=None): } for field in self.field_types.keys(): internal_field = self.field_internal_names[field] - cat_id_or_unix_time = hit.entity.__dict__['fields'].get(internal_field) + cat_id_or_unix_time = hit.entity.__dict__["fields"].get(internal_field) type = self.field_types[field]["type"] if type == "date": - date = datetime.utcfromtimestamp(cat_id_or_unix_time).strftime('%Y-%m-%d') + date = datetime.utcfromtimestamp(cat_id_or_unix_time).strftime("%Y-%m-%d") passage[field] = date else: passage[field] = self.field_id_to_cat[field][cat_id_or_unix_time] diff --git a/denser_retriever/utils.py b/denser_retriever/utils.py index ec2c555..d9084a7 100644 --- a/denser_retriever/utils.py +++ b/denser_retriever/utils.py @@ -1,10 +1,11 @@ +import copy import json import logging import sys from typing import Dict, List, Tuple, Union + import pytrec_eval import torch -import copy def cos_sim(a, b): @@ -199,6 +200,7 @@ def get_logger_file(name): logging.getLogger().addHandler(console) return logging + def evaluate( qrels: Dict[str, Dict[str, int]], results: Dict[str, Dict[str, float]], @@ -255,6 +257,7 @@ def evaluate( return ndcg, _map, recall, precision + def save_denser_corpus(corpus, output_file: str, max_doc_size): out = open(output_file, "w") for i, d in enumerate(corpus): @@ -280,6 +283,7 @@ def save_denser_qrels(qrels, output_file: str): json.dump(data, out, ensure_ascii=False) out.write("\n") + def load_denser_qrels(in_file: str): res = {} for line in open(in_file, "r"): @@ -289,6 +293,7 @@ def load_denser_qrels(in_file: str): res[query] = obj[query] return res + def dump_passages(passages: List[Dict[str, str]], output_file: str): out = open(output_file, "w") for passage in passages: @@ -345,6 +350,7 @@ def build_dicts(passages): uid_to_ranks[uid_str] = i + 1 return uid_to_passages, uid_to_scores, uid_to_ranks + def merge_score_linear(uid_to_scores_1, uid_to_scores_2, weight_1, weight_2): uid_to_score = {} all_uids = set().union(*[uid_to_scores_1, uid_to_scores_2]) @@ -352,6 +358,7 @@ def merge_score_linear(uid_to_scores_1, uid_to_scores_2, weight_1, weight_2): uid_to_score[uid] = weight_1 * uid_to_scores_1.get(uid, 0) + weight_2 * uid_to_scores_2.get(uid, 0) return uid_to_score + def merge_score_rank(uid_to_ranks_1, uid_to_ranks_2): uid_to_score = {} k = 60 @@ -360,6 +367,7 @@ def merge_score_rank(uid_to_ranks_1, uid_to_ranks_2): uid_to_score[uid] = 1 / (k + uid_to_ranks_1.get(uid, 1000)) + 1 / (k + uid_to_ranks_2.get(uid, 1000)) return uid_to_score + def merge_results(passages_1, passages_2, weight_1, weight_2, merge): uid_to_passages_1, uid_to_scores_1, uid_to_ranks_1 = build_dicts(copy.deepcopy(passages_1)) uid_to_passages_2, uid_to_scores_2, uid_to_ranks_2 = build_dicts(copy.deepcopy(passages_2)) @@ -378,8 +386,9 @@ def merge_results(passages_1, passages_2, weight_1, weight_2, merge): passages.append(passage) return passages + def scale_results(passages, weight): res = copy.deepcopy(passages) for passage in res: passage["score"] *= weight - return res \ No newline at end of file + return res diff --git a/docker/milvus/standalone/hello_milvus.py b/docker/milvus/standalone/hello_milvus.py index 26c221e..eb4a7a5 100644 --- a/docker/milvus/standalone/hello_milvus.py +++ b/docker/milvus/standalone/hello_milvus.py @@ -10,10 +10,12 @@ import numpy as np from pymilvus import ( + Collection, + CollectionSchema, + DataType, + FieldSchema, connections, utility, - FieldSchema, CollectionSchema, DataType, - Collection, ) fmt = "\n=== {:30} ===\n" @@ -29,8 +31,13 @@ # # Note: the `using` parameter of the following methods is default to "default". print(fmt.format("start connecting to Milvus")) -connections.connect("default", host="54.68.68.29", port="19530", user='root', - password='Milvus',) +connections.connect( + "default", + host="54.68.68.29", + port="19530", + user="root", + password="Milvus", +) has = utility.has_collection("hello_milvus") print(f"Does collection hello_milvus exist in Milvus: {has}") @@ -51,7 +58,7 @@ fields = [ FieldSchema(name="pk", dtype=DataType.VARCHAR, is_primary=True, auto_id=False, max_length=100), FieldSchema(name="random", dtype=DataType.DOUBLE), - FieldSchema(name="embeddings", dtype=DataType.FLOAT_VECTOR, dim=dim) + FieldSchema(name="embeddings", dtype=DataType.FLOAT_VECTOR, dim=dim), ] schema = CollectionSchema(fields, "hello_milvus is the simplest demo to introduce the APIs") @@ -74,7 +81,7 @@ # provide the pk field because `auto_id` is set to False [str(i) for i in range(num_entities)], rng.random(num_entities).tolist(), # field random, only supports list - rng.random((num_entities, dim)), # field embeddings, supports numpy.ndarray and list + rng.random((num_entities, dim)), # field embeddings, supports numpy.ndarray and list ] insert_result = hello_milvus.insert(entities) @@ -149,7 +156,9 @@ print(fmt.format("Start hybrid searching with `random > 0.5`")) start_time = time.time() -result = hello_milvus.search(vectors_to_search, "embeddings", search_params, limit=3, expr="random > 0.5", output_fields=["random"]) +result = hello_milvus.search( + vectors_to_search, "embeddings", search_params, limit=3, expr="random > 0.5", output_fields=["random"] +) end_time = time.time() for hits in result: diff --git a/docker/milvus/standalone/list_connections.py b/docker/milvus/standalone/list_connections.py index a2363b7..f12a710 100644 --- a/docker/milvus/standalone/list_connections.py +++ b/docker/milvus/standalone/list_connections.py @@ -1,13 +1,17 @@ # https://milvus.io/docs/authenticate.md # reset milvus password -from pymilvus import connections -from pymilvus import Collection -from pymilvus import utility -connections.connect("default", host="54.68.68.29", port="19530", user='root', - password='Milvus',) +from pymilvus import Collection, connections, utility + +connections.connect( + "default", + host="54.68.68.29", + port="19530", + user="root", + password="Milvus", +) print(f"All Milvus collections: {utility.list_collections()}") index = "msmarco" collection = Collection(index) # Get an existing collection. -print(f"{index} collection.num_entities: {collection.num_entities}") \ No newline at end of file +print(f"{index} collection.num_entities: {collection.num_entities}") diff --git a/docker/milvus/standalone/reset_password.py b/docker/milvus/standalone/reset_password.py index cc3e429..9ce6d4b 100644 --- a/docker/milvus/standalone/reset_password.py +++ b/docker/milvus/standalone/reset_password.py @@ -1,13 +1,13 @@ # https://milvus.io/docs/authenticate.md # reset milvus password -from pymilvus import connections -from pymilvus import utility +from pymilvus import connections, utility + connections.connect( - alias='default', - host='localhost', - port='19530', - user='root', - password='Milvus', + alias="default", + host="localhost", + port="19530", + user="root", + password="Milvus", ) -utility.reset_password('root', 'Milvus', 'YOUR_PASSWORD', using='default') \ No newline at end of file +utility.reset_password("root", "Milvus", "YOUR_PASSWORD", using="default") diff --git a/examples/denser_search.py b/examples/denser_search.py index 7cb74bd..7c9f563 100644 --- a/examples/denser_search.py +++ b/examples/denser_search.py @@ -1,9 +1,11 @@ -import streamlit as st -import time import logging -from denser_retriever.retriever_general import RetrieverGeneral +import time from datetime import date +import streamlit as st + +from denser_retriever.retriever_general import RetrieverGeneral + logger = logging.getLogger(__name__) index_name = "unit_test_titanic" diff --git a/examples/denser_search_cpws.py b/examples/denser_search_cpws.py index 132eb81..3f7509a 100644 --- a/examples/denser_search_cpws.py +++ b/examples/denser_search_cpws.py @@ -1,9 +1,11 @@ -import streamlit as st -import time import logging -from denser_retriever.retriever_general import RetrieverGeneral +import time from datetime import date +import streamlit as st + +from denser_retriever.retriever_general import RetrieverGeneral + logger = logging.getLogger(__name__) index_name = "unit_test_cpws" diff --git a/experiments/generate_retriever_data.py b/experiments/generate_retriever_data.py index 63bc844..0006c19 100644 --- a/experiments/generate_retriever_data.py +++ b/experiments/generate_retriever_data.py @@ -2,14 +2,14 @@ import os from enum import Enum +from denser_retriever.reranker import Reranker from denser_retriever.retriever_elasticsearch import RetrieverElasticSearch from denser_retriever.retriever_milvus import RetrieverMilvus -from denser_retriever.reranker import Reranker from denser_retriever.utils import ( + build_dicts, save_denser_corpus, save_denser_qrels, save_denser_queries, - build_dicts, ) from denser_retriever.utils_data import HFDataLoader @@ -73,16 +73,17 @@ def generate_data(dataset_name, split, ingest=False): # Combine both passages for passage in passages_keyword + passages_vector: - if passage['source'] not in seen_ids: + if passage["source"] not in seen_ids: combined_passages.append(passage) - seen_ids.add(passage['source']) + seen_ids.add(passage["source"]) uid_to_passages_1, uid_to_scores_1, uid_to_ranks_1 = build_dicts(passages_keyword) uid_to_passages_2, uid_to_scores_2, uid_to_ranks_2 = build_dicts(passages_vector) labels = qrels[qid] - passages_reranked = reranker.rerank(q["text"], combined_passages, - retriever_keyword.config["rerank"]["rerank_bs"]) + passages_reranked = reranker.rerank( + q["text"], combined_passages, retriever_keyword.config["rerank"]["rerank_bs"] + ) uid_to_passages_reranked, uid_to_scores_reranked, uid_to_ranks_reranked = build_dicts(passages_reranked) feature_str = "" for pid in uid_to_passages_reranked.keys(): @@ -102,6 +103,6 @@ def generate_data(dataset_name, split, ingest=False): assert pid in uid_to_ranks_reranked feature_str += f" 7:{uid_to_ranks_reranked[pid]}" feature_str += f" 8:{uid_to_scores_reranked[pid]}" - feature_str += f" 9:0" + feature_str += " 9:0" feature_str += f" # {pid}\n" feature_out.write(feature_str) diff --git a/experiments/run_benchmark.py b/experiments/run_benchmark.py index 122fce4..b982ad3 100644 --- a/experiments/run_benchmark.py +++ b/experiments/run_benchmark.py @@ -5,11 +5,11 @@ from denser_retriever.retriever_general import RetrieverGeneral from denser_retriever.utils import ( + evaluate, passages_to_dict, save_denser_corpus, save_denser_qrels, save_denser_queries, - evaluate, ) from denser_retriever.utils_data import HFDataLoader @@ -73,7 +73,6 @@ def run_benchmark(dataset_name): logger.info(f"NDCG@10: {ndcg_passage}") - if __name__ == "__main__": dataset_name = "mteb/nfcorpus" # dataset_name = "mteb/trec-covid" diff --git a/experiments/run_experiment.py b/experiments/run_experiment.py index 19842dc..b7e8167 100644 --- a/experiments/run_experiment.py +++ b/experiments/run_experiment.py @@ -1,26 +1,29 @@ -from generate_retriever_data import generate_data -from denser_retriever.utils import load_denser_qrels -from utils_data import prepare_xgbdata +import logging +import os + +import xgboost as xgb import yaml +from generate_retriever_data import generate_data from sklearn.datasets import load_svmlight_file -import xgboost as xgb +from utils_data import prepare_xgbdata from xgboost import DMatrix -import os -import logging + from denser_retriever.utils import ( evaluate, + load_denser_qrels, ) logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) -config_to_features = {"base": ["1,2,3,4,5,6,7,8,9", None], - "vector": ["4,5,6", None], - "normalized": ["1,2,3,4,5,6,7,8,9", "2,5,8"]} - +config_to_features = { + "base": ["1,2,3,4,5,6,7,8,9", None], + "vector": ["4,5,6", None], + "normalized": ["1,2,3,4,5,6,7,8,9", "2,5,8"], +} -class Experiment(): +class Experiment: def __init__(self, dataset_name, retriever_config): self.dataset_name = dataset_name self.retriever_config = retriever_config @@ -53,7 +56,7 @@ def compute_baselines(self): for line in open(feature_file, "r"): pos = line.index("#") assert pos != -1 - pid = line[pos + 1:].strip() + pid = line[pos + 1 :].strip() line = line[:pos] comps = line.strip().split(" ") qid = comps[1].split(":")[1].strip() @@ -95,11 +98,16 @@ def train_and_test(self, train_dir, dev_dir, test_dir, retriever_config): train_dmatrix.set_group(group_train) valid_dmatrix.set_group(group_valid) - params = {'objective': 'rank:ndcg', 'eta': 0.1, 'gamma': 1.0, - 'min_child_weight': 0.1, 'max_depth': 6, 'eval_metric': 'ndcg@5'} - xgb_model = xgb.train(params, train_dmatrix, num_boost_round=200, - evals=[(valid_dmatrix, 'validation')]) - print(xgb_model.get_score(importance_type='gain')) + params = { + "objective": "rank:ndcg", + "eta": 0.1, + "gamma": 1.0, + "min_child_weight": 0.1, + "max_depth": 6, + "eval_metric": "ndcg@5", + } + xgb_model = xgb.train(params, train_dmatrix, num_boost_round=200, evals=[(valid_dmatrix, "validation")]) + print(xgb_model.get_score(importance_type="gain")) pred = xgb_model.predict(test_dmatrix) test_svmlight_file = os.path.join(test_dir, "features.svmlight") @@ -108,7 +116,7 @@ def train_and_test(self, train_dir, dev_dir, test_dir, retriever_config): for line in open(test_svmlight_file, "r"): pos = line.index("#") assert pos != -1 - pid = line[pos + 1:].strip() + pid = line[pos + 1 :].strip() line = line[:pos] comps = line.strip().split(" ") qid = comps[1].split(":")[1].strip() @@ -132,14 +140,21 @@ def fuse_retrievers(self): features_to_use, features_to_normalize = config_to_features[retriever_config] for split in splits: - prepare_xgbdata(os.path.join(self.output_prefix, split), retriever_config, retriever_config + ".group", - features_to_use, - features_to_normalize) + prepare_xgbdata( + os.path.join(self.output_prefix, split), + retriever_config, + retriever_config + ".group", + features_to_use, + features_to_normalize, + ) # run xgboost training and prediction, print each retriever's ndcg@5 and the combined ndcg@5 - self.train_and_test(os.path.join(self.output_prefix, "train"), os.path.join(self.output_prefix, "dev"), - os.path.join(self.output_prefix, "test"), - retriever_config) + self.train_and_test( + os.path.join(self.output_prefix, "train"), + os.path.join(self.output_prefix, "dev"), + os.path.join(self.output_prefix, "test"), + retriever_config, + ) if __name__ == "__main__": diff --git a/experiments/utils_data.py b/experiments/utils_data.py index 7db44de..e1cf99f 100644 --- a/experiments/utils_data.py +++ b/experiments/utils_data.py @@ -1,6 +1,7 @@ -import numpy as np import os +import numpy as np + def standardize_normalize(data): # Convert list to numpy array for easier manipulation @@ -14,7 +15,7 @@ def standardize_normalize(data): if std_dev != 0: standardized_arr = (arr - mean) / std_dev else: - standardized_arr = (arr - mean) + standardized_arr = arr - mean print("Warning: std_dev is zero") # Convert back to list if necessary @@ -50,7 +51,7 @@ def save_data(group_data, output_feature, output_group, features, features_to_no features_raw = {f: [] for f in features_to_normalize} for data in group_data: for p in data[2:]: - f_name, f_value = p.split(':') + f_name, f_value = p.split(":") if f_name in features_to_normalize: features_raw[f_name].append(float(f_value)) @@ -66,7 +67,7 @@ def save_data(group_data, output_feature, output_group, features, features_to_no feats = [] for p in data[2:]: - f_name, f_value = p.split(':') + f_name, f_value = p.split(":") if features and f_name not in features: continue if float(f_value) != 0.0: @@ -100,7 +101,7 @@ def 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b/requirements.txt @@ -1,8 +1,92 @@ -datasets -sentence_transformers -elasticsearch -pytrec_eval -pymilvus -streamlit -openai==0.28 -tiktoken \ No newline at end of file +aiohttp==3.9.5 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +aiosignal==1.3.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +argon2-cffi-bindings==21.2.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +argon2-cffi==23.1.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +async-timeout==4.0.3 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "3.11" +attrs==23.2.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +azure-core==1.30.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +azure-storage-blob==12.19.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +certifi==2024.2.2 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +cffi==1.16.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +charset-normalizer==3.3.2 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +click==8.1.7 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +colorama==0.4.6 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +commonmark==0.9.1 ; python_version >= "3.8" and python_version < "4.0" and python_full_version != "3.9.7" +cryptography==42.0.6 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +datasets==2.19.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +dill==0.3.8 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +elastic-transport==8.13.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +elasticsearch==8.13.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +environs==9.5.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +filelock==3.14.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +frozenlist==1.4.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +fsspec==2024.3.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +fsspec[http]==2024.3.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +grpcio==1.60.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +huggingface-hub==0.23.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +idna==3.7 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +intel-openmp==2021.4.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" and platform_system == "Windows" +isodate==0.6.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +jinja2==3.1.3 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +joblib==1.4.2 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +markupsafe==2.1.5 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +marshmallow==3.21.2 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +minio==7.2.7 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +mkl==2021.4.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" and platform_system == "Windows" +mpmath==1.3.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +multidict==6.0.5 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +multiprocess==0.70.16 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +networkx==3.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +numpy==1.24.4 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +nvidia-cublas-cu12==12.1.3.1 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +nvidia-cuda-cupti-cu12==12.1.105 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +nvidia-cuda-nvrtc-cu12==12.1.105 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +nvidia-cuda-runtime-cu12==12.1.105 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +nvidia-cudnn-cu12==8.9.2.26 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +nvidia-cufft-cu12==11.0.2.54 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +nvidia-curand-cu12==10.3.2.106 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +nvidia-cusolver-cu12==11.4.5.107 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +nvidia-cusparse-cu12==12.1.0.106 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +nvidia-nccl-cu12==2.20.5 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +nvidia-nvjitlink-cu12==12.4.127 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +nvidia-nvtx-cu12==12.1.105 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +packaging==24.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +pandas==2.0.3 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +pillow==10.3.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +protobuf==4.25.3 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +pyarrow-hotfix==0.6 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +pyarrow==16.0.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +pycparser==2.22 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +pycryptodome==3.20.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +pygments==2.18.0 ; python_version >= "3.8" and python_version < "4.0" and python_full_version != "3.9.7" +pymilvus==2.4.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +python-dateutil==2.9.0.post0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +python-dotenv==1.0.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +pytrec-eval==0.5 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +pytz==2024.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +pyyaml==6.0.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +regex==2024.4.28 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +requests==2.31.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +rich==10.16.2 ; python_version >= "3.8" and python_version < "4.0" and python_full_version != "3.9.7" +safetensors==0.4.3 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +scikit-learn==1.3.2 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +scipy==1.9.3 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +sentence-transformers==2.7.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +setuptools==69.5.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +shellingham==1.5.4 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +six==1.16.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +sympy==1.12 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +tbb==2021.12.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" and platform_system == "Windows" +threadpoolctl==3.5.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +tokenizers==0.19.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +torch==2.3.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +tqdm==4.66.4 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +transformers==4.40.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +triton==2.3.0 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version < "3.12" and python_version >= "3.8" and python_full_version != "3.9.7" +typer[all]==0.4.2 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +typing-extensions==4.11.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +tzdata==2024.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +ujson==5.9.0 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +urllib3==2.2.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +xxhash==3.4.1 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" +yarl==1.9.4 ; python_version >= "3.8" and python_full_version != "3.9.7" and python_version < "4.0" diff --git a/tests/test_retriever_elasticsearch.py b/tests/test_retriever_elasticsearch.py index 0177f79..0c8c63e 100644 --- a/tests/test_retriever_elasticsearch.py +++ b/tests/test_retriever_elasticsearch.py @@ -1,6 +1,6 @@ +from datetime import date, datetime + from denser_retriever.retriever_elasticsearch import RetrieverElasticSearch -from datetime import date -from datetime import datetime class TestRetrieverElasticSearch: @@ -23,7 +23,7 @@ def test_retrieve_denser(self): passages = self.retriever_denser.retrieve(query, {}) topk = self.retriever_denser.config["keyword"]["topk"] assert len(passages) == topk - assert passages[0]["title"] == 'AI Website Search and Conversational Chatbot | Denser.ai' + assert passages[0]["title"] == "AI Website Search and Conversational Chatbot | Denser.ai" assert abs(passages[0]["score"] - 6.171114) < 0.01 def test_retrieve_titanic(self): @@ -40,7 +40,7 @@ def test_retrieve_titanic(self): meta_data = {"Birthday": (date(1873, 1, 1), date(1874, 12, 30))} passages = self.retriever_titanic.retrieve(query, meta_data) for passage in passages: - d = datetime.strptime(passage["Birthday"], '%Y-%m-%d').date() + d = datetime.strptime(passage["Birthday"], "%Y-%m-%d").date() assert d > date(1873, 1, 1) and d < date(1874, 12, 30) meta_data = {"Sex": "male"} diff --git a/tests/test_retriever_general.py b/tests/test_retriever_general.py index d0361cf..075e2ed 100644 --- a/tests/test_retriever_general.py +++ b/tests/test_retriever_general.py @@ -1,6 +1,7 @@ -from denser_retriever.retriever_general import RetrieverGeneral from datetime import date +from denser_retriever.retriever_general import RetrieverGeneral + class TestRetrieverGeneral: def setup_method(self): @@ -21,7 +22,7 @@ def test_retrieve_denser(self): query = "what is denser ai?" passages, docs = self.retriever_denser.retrieve(query, {}) assert len(passages) == topk - assert passages[0]["title"] == 'AI Website Search and Conversational Chatbot | Denser.ai' + assert passages[0]["title"] == "AI Website Search and Conversational Chatbot | Denser.ai" assert abs(passages[0]["score"] - 4.1690) < 0.01 def test_retrieve_titanic(self): @@ -31,7 +32,6 @@ def test_retrieve_titanic(self): assert passages[0]["source"] == "2" assert abs(passages[0]["score"] - 3.6725) < 0.01 - def test_retrieve_cpws(self): query = "买卖合同纠纷" meta_data = {"所属地区": "新昌县"} diff --git a/tests/test_retriever_milvus.py b/tests/test_retriever_milvus.py index f185340..6f750c5 100644 --- a/tests/test_retriever_milvus.py +++ b/tests/test_retriever_milvus.py @@ -1,6 +1,7 @@ -from denser_retriever.retriever_milvus import RetrieverMilvus from datetime import date +from denser_retriever.retriever_milvus import RetrieverMilvus + class TestRetrieverMilvus: def setup_method(self): @@ -22,7 +23,7 @@ def test_retrieve_denser(self): passages = self.retriever_milvus_denser.retrieve(query, {}) # import pdb; pdb.set_trace() assert len(passages) == topk - assert passages[0]["title"] == 'Blog | Denser.ai' + assert passages[0]["title"] == "Blog | Denser.ai" assert abs(passages[0]["score"] + 1.126) < 0.01 def test_retrieve_titanic(self): diff --git a/utils/preprocess_data.py b/utils/preprocess_data.py new file mode 100644 index 0000000..8d8bd07 --- /dev/null +++ b/utils/preprocess_data.py @@ -0,0 +1,39 @@ +import csv +import json +import logging + +logger = logging.getLogger(__name__) + + +def csv_to_jsonl(csv_filepath, jsonl_filepath): + """ + Convert a CSV file to a JSON Lines (JSONL) file. + + Args: + csv_filepath (str): The path to the input CSV file. + jsonl_filepath (str): The path to the output JSONL file. + """ + key_update = {"原始链接": "source", "案件名称": "title", "全文": "text"} + with open(csv_filepath, mode="r", newline="", encoding="utf-8-sig") as csv_file: + csv_reader = csv.DictReader(csv_file) + + with open(jsonl_filepath, mode="w", newline="", encoding="utf-8") as jsonl_file: + # Convert each row to JSON and write it to the JSONL file + for item in csv_reader: + for key in key_update.keys(): + if key in item: + item[key_update[key]] = item.pop(key) + else: + item[key_update[key]] = "" + logger.info(f"Missing key {key} in {item}") + item["pid"] = -1 + if item["source"]: + jsonl_file.write(json.dumps(item, ensure_ascii=False) + "\n") + else: + logger.info(f"Skip {item}") + + +if __name__ == "__main__": + input_file = "tests/test_data/cpws_2021_10_top10.csv" + output_file = "tests/test_data/cpws_passages_top10.jsonl" + csv_to_jsonl(input_file, output_file) diff --git a/utils/preprocess_data_cpws.py b/utils/preprocess_data_cpws.py index 8376532..8d8bd07 100644 --- a/utils/preprocess_data_cpws.py +++ b/utils/preprocess_data_cpws.py @@ -14,10 +14,10 @@ def csv_to_jsonl(csv_filepath, jsonl_filepath): jsonl_filepath (str): The path to the output JSONL file. """ key_update = {"原始链接": "source", "案件名称": "title", "全文": "text"} - with open(csv_filepath, mode='r', newline='', encoding='utf-8-sig') as csv_file: + with open(csv_filepath, mode="r", newline="", encoding="utf-8-sig") as csv_file: csv_reader = csv.DictReader(csv_file) - with open(jsonl_filepath, mode='w', newline='', encoding='utf-8') as jsonl_file: + with open(jsonl_filepath, mode="w", newline="", encoding="utf-8") as jsonl_file: # Convert each row to JSON and write it to the JSONL file for item in csv_reader: for key in key_update.keys(): @@ -27,8 +27,8 @@ def csv_to_jsonl(csv_filepath, jsonl_filepath): item[key_update[key]] = "" logger.info(f"Missing key {key} in {item}") item["pid"] = -1 - if item['source']: - jsonl_file.write(json.dumps(item, ensure_ascii=False) + '\n') + if item["source"]: + jsonl_file.write(json.dumps(item, ensure_ascii=False) + "\n") else: logger.info(f"Skip {item}") diff --git a/utils/preprocess_data_titanic.py b/utils/preprocess_data_titanic.py index 6e63df1..462e47f 100644 --- a/utils/preprocess_data_titanic.py +++ b/utils/preprocess_data_titanic.py @@ -1,7 +1,7 @@ import csv +import datetime import json import logging -import datetime import random logger = logging.getLogger(__name__) @@ -18,10 +18,10 @@ def csv_to_jsonl(csv_filepath, jsonl_filepath, key_update): jsonl_filepath (str): The path to the output JSONL file. """ - with open(csv_filepath, mode='r', newline='', encoding='utf-8-sig') as csv_file: + with open(csv_filepath, mode="r", newline="", encoding="utf-8-sig") as csv_file: csv_reader = csv.DictReader(csv_file) - with open(jsonl_filepath, mode='w', newline='', encoding='utf-8') as jsonl_file: + with open(jsonl_filepath, mode="w", newline="", encoding="utf-8") as jsonl_file: # Convert each row to JSON and write it to the JSONL file for item in csv_reader: for key in key_update.keys(): @@ -34,8 +34,8 @@ def csv_to_jsonl(csv_filepath, jsonl_filepath, key_update): age_str = item["Age"] age = int(float(age_str)) if len(age_str) > 0 else 0 item["Birthday"] = generate_birthday(age) - if item['source']: - jsonl_file.write(json.dumps(item, ensure_ascii=False) + '\n') + if item["source"]: + jsonl_file.write(json.dumps(item, ensure_ascii=False) + "\n") else: logger.info(f"Skip {item}") diff --git a/www/.gitignore b/www/.gitignore new file mode 100644 index 0000000..4639315 --- /dev/null +++ b/www/.gitignore @@ -0,0 +1,8 @@ +.next +node_modules + +# sst +.sst + +# open-next +.open-next diff --git a/www/README.md b/www/README.md new file mode 100644 index 0000000..4990107 --- /dev/null +++ b/www/README.md @@ -0,0 +1,27 @@ +# Denser Retriever Docs + +This is Denser Retriever documentation built with [Nextra](https://nextra.site). + +[**Staging Demo →**](https://d1plevnnmwy11h.cloudfront.net/) + +## Requirements + +- Node.js(>=18.0.0) +- pnpm +- sst(ion) + +## Local Development + +First, run `pnpm i` to install the dependencies. + +Then, run `pnpm dev` to start the development server and visit localhost:3000. + +## Deployment + +### For Staging + +Run `sst deploy --stage staging` to deploy the site to AWS. + +### For Production + +Run `sst deploy --stage prod` to deploy the site to AWS. diff --git a/www/components.json b/www/components.json new file mode 100644 index 0000000..9d56363 --- /dev/null +++ b/www/components.json @@ -0,0 +1,17 @@ +{ + "$schema": "https://ui.shadcn.com/schema.json", + "style": "default", + "rsc": true, + "tsx": true, + "tailwind": { + "config": "tailwind.config.js", + "css": "pages/global.css", + "baseColor": "zinc", + "cssVariables": true, + "prefix": "" + }, + "aliases": { + "components": "@/components", + "utils": "@/lib/utils" + } +} diff --git a/www/components/background.tsx b/www/components/background.tsx new file mode 100644 index 0000000..3f15177 --- /dev/null +++ b/www/components/background.tsx @@ -0,0 +1,13 @@ +import Image from "next/image"; + +export const Background = () => ( +
+ +
+); diff --git a/www/components/frame.tsx b/www/components/frame.tsx new file mode 100644 index 0000000..d30ec4c --- /dev/null +++ b/www/components/frame.tsx @@ -0,0 +1,35 @@ +import { cn } from "../utils/cn"; + +export const Frame = ({ + children, + className, + border = false, + fullWidth = false, + transparent = false, +}: { + children: React.ReactNode; + className?: string; + border?: boolean; + fullWidth?: boolean; + transparent?: boolean; +}) => ( +
+
*]:mt-0", + fullWidth && "max-w-full", + transparent && "bg-transparent", + border && "[&>*]:-mb-1" + )} + > + {children} +
+
+); diff --git a/www/components/home.tsx b/www/components/home.tsx new file mode 100644 index 0000000..4890d1d --- /dev/null +++ b/www/components/home.tsx @@ -0,0 +1,47 @@ +import { Background } from "@/components/background"; +import { buttonVariants } from "@/components/ui/button"; + +const Home = () => { + return ( +
+ +
+
+

+ Next Generation
+ AI Retriever. +

+

+ Lorem ipsum dolor sit amet consectetur adipisicing elit. Odio + incidunt nam itaque sed eius modi error totam sit illum. Voluptas + doloribus asperiores quaerat aperiam. Quidem harum omnis beatae + ipsum soluta! +

+
+ + +
+
+
+
+ ); +}; + +export default Home; diff --git a/www/components/icons.tsx b/www/components/icons.tsx new file mode 100644 index 0000000..c9e0920 --- /dev/null +++ b/www/components/icons.tsx @@ -0,0 +1,17 @@ +import { LucideProps } from "lucide-react"; + +export const Icons = { + discord: ({ ...props }: LucideProps) => ( + + Discord + + + ), +}; diff --git a/www/components/main-container.tsx b/www/components/main-container.tsx new file mode 100644 index 0000000..ab917cb --- /dev/null +++ b/www/components/main-container.tsx @@ -0,0 +1,15 @@ +import { useRouter } from "next/router"; +import { Background } from "./background"; + +const pathsWithoutFooterWidgets = ["/imprint", "/blog"]; + +export const MainContainer = (props) => { + const router = useRouter(); + + return ( + <> + {props.children} + + + ); +}; diff --git a/www/components/ui/button.tsx b/www/components/ui/button.tsx new file mode 100644 index 0000000..0ba4277 --- /dev/null +++ b/www/components/ui/button.tsx @@ -0,0 +1,56 @@ +import * as React from "react" +import { Slot } from "@radix-ui/react-slot" +import { cva, type VariantProps } from "class-variance-authority" + +import { cn } from "@/lib/utils" + +const buttonVariants = cva( + "inline-flex items-center justify-center whitespace-nowrap rounded-md text-sm font-medium ring-offset-background transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50", + { + variants: { + variant: { + default: "bg-primary text-primary-foreground hover:bg-primary/90", + destructive: + "bg-destructive text-destructive-foreground hover:bg-destructive/90", + outline: + "border border-input bg-background hover:bg-accent hover:text-accent-foreground", + secondary: + "bg-secondary text-secondary-foreground hover:bg-secondary/80", + ghost: "hover:bg-accent hover:text-accent-foreground", + link: "text-primary underline-offset-4 hover:underline", + }, + size: { + default: "h-10 px-4 py-2", + sm: "h-9 rounded-md px-3", + lg: "h-11 rounded-md px-8", + icon: "h-10 w-10", + }, + }, + defaultVariants: { + variant: "default", + size: "default", + }, + } +) + +export interface ButtonProps + extends React.ButtonHTMLAttributes, + VariantProps { + asChild?: boolean +} + +const Button = React.forwardRef( + ({ className, variant, size, asChild = false, ...props }, ref) => { + const Comp = asChild ? Slot : "button" + return ( + + ) + } +) +Button.displayName = "Button" + +export { Button, buttonVariants } diff --git a/www/components/ui/linear-gradient.tsx b/www/components/ui/linear-gradient.tsx new file mode 100644 index 0000000..da9592f --- /dev/null +++ b/www/components/ui/linear-gradient.tsx @@ -0,0 +1,82 @@ +import { CSSProperties } from "react"; + +type Direction = + | "top" + | "bottom" + | "left" + | "right" + | "top left" + | "top right" + | "bottom left" + | "bottom right"; + +interface LinearGradientProps { + /** + * The color to transition from + * @default #00000000 + * @type string + * */ + from?: string; + + /** + * The color to transition to + * @default #290A5C + * @type string + * */ + to?: string; + + /** + * The width of the gradient + * @default 100% + * @type string + * */ + width?: string; + + /** + * The height of the gradient + * @default 100% + * @type string + * */ + height?: string; + + /** + * The direction of the gradient + * @default bottom + * @type string + * */ + direction?: Direction; + + /** + * The point at which the transition occurs + * @default 50% + * @type string + * */ + transitionPoint?: string; + + /** + * The class name to apply to the gradient + * @default "" + * @type string + * */ + className?: string; +} + +export const LinearGradient = ({ + from = "#00000000", + to = "rgba(120,119,198,0.3)", + width = "100%", + height = "100%", + transitionPoint = "50%", + direction = "bottom", + className, +}: LinearGradientProps) => { + const styles: CSSProperties = { + position: "absolute", + pointerEvents: "none", + inset: 0, + width: width, + height: height, + background: `linear-gradient(to ${direction}, ${from}, ${transitionPoint}, ${to})`, + }; + return
; +}; diff --git a/www/lib/utils.ts b/www/lib/utils.ts new file mode 100644 index 0000000..d084cca --- /dev/null +++ b/www/lib/utils.ts @@ -0,0 +1,6 @@ +import { type ClassValue, clsx } from "clsx" +import { twMerge } from "tailwind-merge" + +export function cn(...inputs: ClassValue[]) { + return twMerge(clsx(inputs)) +} diff --git a/www/next-env.d.ts b/www/next-env.d.ts new file mode 100644 index 0000000..4f11a03 --- /dev/null +++ b/www/next-env.d.ts @@ -0,0 +1,5 @@ +/// +/// + +// NOTE: This file should not be edited +// see https://nextjs.org/docs/basic-features/typescript for more information. diff --git a/www/next.config.js b/www/next.config.js new file mode 100644 index 0000000..ef28363 --- /dev/null +++ b/www/next.config.js @@ -0,0 +1,6 @@ +const withNextra = require('nextra')({ + theme: 'nextra-theme-docs', + themeConfig: './theme.config.tsx', +}) + +module.exports = withNextra() diff --git a/www/package.json b/www/package.json new file mode 100644 index 0000000..67f42f7 --- /dev/null +++ b/www/package.json @@ -0,0 +1,46 @@ +{ + "name": "retriever-docs", + "version": "0.0.1", + "description": "Documentation for Denser Retriever", + "scripts": { + "dev": "next dev", + "sst:dev": "sst dev next dev", + "build": "next build", + "start": "next start" + }, + "repository": { + "type": "git", + "url": "git+https://github.com/denser-org/denser-retriever.git" + }, + "author": "Wanjun Li ", + "license": "MIT", + "bugs": { + "url": "https://github.com/denser-org/denser-retriever/issues" + }, + "homepage": "https://github.com/denser-org/denser-retriever#readme", + "dependencies": { + "@radix-ui/react-slot": "^1.0.2", + "class-variance-authority": "^0.7.0", + "clsx": "^2.1.1", + "framer-motion": "^11.1.7", + "geist": "^1.3.0", + "lucide-react": "^0.378.0", + "next": "^14.2.3", + "nextra": "^2.13.4", + "nextra-theme-docs": "^2.13.4", + "react": "^18.3.1", + "react-dom": "^18.3.1", + "sst": "^3.0.1", + "tailwind-merge": "^2.3.0", + "tailwindcss-animate": "^1.0.7" + }, + "devDependencies": { + "@types/node": "20.12.8", + "@types/react": "^18.3.1", + "autoprefixer": "^10.4.19", + "postcss": "^8.4.38", + "tailwindcss": "^3.4.3", + "typescript": "^5.4.5" + }, + "packageManager": "pnpm@8.15.5" +} diff --git a/www/pages/_app.mdx b/www/pages/_app.mdx new file mode 100644 index 0000000..95a9b8d --- /dev/null +++ b/www/pages/_app.mdx @@ -0,0 +1,9 @@ +import "./global.css"; + +export default function App({ Component, pageProps }) { + return ( +
+ +
+ ); +} diff --git a/www/pages/_meta.json b/www/pages/_meta.json new file mode 100644 index 0000000..f282c3f --- /dev/null +++ b/www/pages/_meta.json @@ -0,0 +1,29 @@ +{ + "index": { + "type": "page", + "title": "Denser Retriever", + "display": "hidden", + "theme": { + "layout": "raw" + } + }, + "docs": { + "title": "Docs", + "type": "page" + }, + "examples": { + "type": "page", + "title": "Examples", + "display": "hidden" + }, + "about": { + "title": "About", + "type": "page" + }, + "contact": { + "title": "Contact ↗", + "type": "page", + "href": "https://denser.ai", + "newWindow": true + } +} diff --git a/www/pages/about.mdx b/www/pages/about.mdx new file mode 100644 index 0000000..ec6faed --- /dev/null +++ b/www/pages/about.mdx @@ -0,0 +1,3 @@ +# About + +This is the about page! This page is shown on the navbar. diff --git a/www/pages/docs/_meta.json b/www/pages/docs/_meta.json new file mode 100644 index 0000000..f805b2a --- /dev/null +++ b/www/pages/docs/_meta.json @@ -0,0 +1,9 @@ +{ + "-- Switcher": { + "type": "separator", + "title": "Switcher" + }, + "index": "Introduction", + "quick-start": "Quick Start", + "get-started": "Get Started" +} diff --git a/www/pages/docs/get-started/_meta.json b/www/pages/docs/get-started/_meta.json new file mode 100644 index 0000000..4494e87 --- /dev/null +++ b/www/pages/docs/get-started/_meta.json @@ -0,0 +1,7 @@ +{ + "installation": "Installation", + "install-keyword-search": "Install Keyword Search", + "install-vector-db": "Install Vector Database", + "run-tests": "Run Tests", + "retriever-experiments": "Retriever Experiments" +} diff --git a/www/pages/docs/get-started/install-keyword-search.mdx b/www/pages/docs/get-started/install-keyword-search.mdx new file mode 100644 index 0000000..c33982e --- /dev/null +++ b/www/pages/docs/get-started/install-keyword-search.mdx @@ -0,0 +1,78 @@ +# Install Keyword Search + +We use Elasticsearch under the hood as keyword search implementation due to its high performance and robustness. We follow the [Elasticsearch install guide](https://www.elastic.co/guide/en/elasticsearch/reference/current/targz.html) to install Elasticsearch version 8.13 on an AWS EC2 instance (`t2.medium` with 2 vCPU and 4 GiB Memory). Users may refer to the official elasticsearch doc for greater details. To be self-contained, we list the installation commands required in this doc. + +## Download and install archive for Linuxedit + +First we download and install archive for linux. The Linux archive for Elasticsearch v8.13.2 can be downloaded and installed as follows: + +```bash +wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-8.13.2-linux-x86_64.tar.gz +tar -xzf elasticsearch-8.13.2-linux-x86_64.tar.gz +cd elasticsearch-8.13.2/ +``` +## Run Elasticsearch from the command line + +We run the following command to start Elasticsearch: + +```bash +./bin/elasticsearch +``` + +When starting Elasticsearch for the first time, security features are enabled and configured by default. Specifically, + +- Authentication and authorization are enabled, and a password is generated for the elastic built-in superuser. +- Certificates and keys for TLS are generated for the transport and HTTP layer, and TLS is enabled and configured with these keys and certificates. + +The password for the `elastic` user is output to your terminal. Take a note of the this password `es_passwd` which will be used to connect elasticsearch server. + +The default setting requires both elastic password and TLS to access elasticsearch service. To make it simple, you can disable TLS by changing the `enabled: true` to `enabled: false` at `config/elasticsearch.yml`. After the change, the ssl config block looks like the following: + +```bash +xpack.security.http.ssl: + enabled: false + keystore.path: certs/http.p12 +``` + +## Check that Elasticsearch is running + +You can test that your Elasticsearch node is running by sending an HTTPS request to port 9200 on `localhost`: + +```bash +curl -u elastic:your_es_passwd http://localhost:9200/ +``` + +The call returns a response like this: + +```bash +{ + "name" : "Cp8oag6", + "cluster_name" : "elasticsearch", + "cluster_uuid" : "AT69_T_DTp-1qgIJlatQqA", + "version" : { + "number" : "8.13.2", + "build_type" : "tar", + "build_hash" : "f27399d", + "build_flavor" : "default", + "build_date" : "2016-03-30T09:51:41.449Z", + "build_snapshot" : false, + "lucene_version" : "9.10.0", + "minimum_wire_compatibility_version" : "1.2.3", + "minimum_index_compatibility_version" : "1.2.3" + }, + "tagline" : "You Know, for Search" +} +``` + +## Run as a daemon + +To run Elasticsearch as a daemon, specify `-d` on the command line, and record the process ID in a file using the `-p` option: + +```bash +./bin/elasticsearch -d -p pid +``` + +To shut down Elasticsearch, kill the process ID recorded in the pid file: +```bash +pkill -F pid +``` diff --git a/www/pages/docs/get-started/install-vector-db.mdx b/www/pages/docs/get-started/install-vector-db.mdx new file mode 100644 index 0000000..383e059 --- /dev/null +++ b/www/pages/docs/get-started/install-vector-db.mdx @@ -0,0 +1,57 @@ +# Install Vector Database + +We use Milvus under the hood as vector database implementation due to its high performance and robustness. We follow the Milvus instructions at [here](https://milvus.io/docs/install_standalone-docker-compose.md) to install Milvus **Standalone** Service on a `t2.medium` instance (the same one as we installed the keyword search service). +To be self-contained, we list the installation commands required in this doc. + +## Configure Milvus + +We include `milvus` directory in `denser-retriever` repo to support Milvus installation. Open the `milvus/standalone/docker-compose.yml` file and find the following block: +```shell +volumes: + - /home/ubuntu/denser-retriever/milvus/standalone/milvus.yaml:/milvus/configs/milvus.yaml # Map the local path to the container path + - ${DOCKER_VOLUME_DIRECTORY:-/home/ubuntu/efs/milvus_data_retriever}/volumes/milvus:/var/lib/milvus +``` + +We need two modifications: +- Change the path of `/home/ubuntu/denser-retriever/milvus/standalone/milvus.yaml` to point to your correct `milvus.yaml` path +- Change the path of `/home/ubuntu/efs/milvus_data_retriever` to point to the location you wish to store the embeddings. This location should have sufficient storage space to store embeddings for a large collection of datasets. + + +## Start Milvus + +Follow the instructions at [here](https://milvus.io/docs/install_standalone-docker-compose.md), we run the following command to start Milvus: + +```shell +cd milvus/standalone +sudo docker compose up -d +``` + +## User Access Authentication + +We follow the instructions at [here](https://milvus.io/docs/authenticate.md) to enable user access authentication. Specifically, we set `common.security.authorizationEnabled` in `milvus.yaml` as `true` when configuring Milvus. + +A `root` user (password: `Milvus`) is created along with each Milvus instance by default. To prevent your milvus server from public access, you can edit the file `reset_password.py` to replace the `YOUR_PASSWORD` with your real password, and then run the following cmd to change. Take a note of your changed password as it would be required to access vector database. + +```python +python reset_password.py +``` + +## Test Milvus + +To test milvus connection and operators, we run the following command from any computers. It tests the connection to Milvus server, creating Milvus index, querying with Milvus index and finally deleting Milvus index. + +```python +python hello_milvus.py +``` + +## Stop Milvus + +To stop the Milvus, you can simply run the following command under directory of `milvus/standalone`. + +```shell +sudo docker compose stop +``` + + + + diff --git a/www/pages/docs/get-started/installation.mdx b/www/pages/docs/get-started/installation.mdx new file mode 100644 index 0000000..778e9e8 --- /dev/null +++ b/www/pages/docs/get-started/installation.mdx @@ -0,0 +1,26 @@ +# Get started with Denser Retriever + +## Installation + +To get started, install Denser Retriever using `pip` with the following command: + +```bash +pip install denser-retriever +``` + +Or, you can install Denser Retriever from the source code: + +```bash +git clone https://github.com/denser-org/denser-retriever.git +cd denser-retriever +pip install -e . +``` + +## Next Steps + +Next, you will need to setup the Vector Database and Keyword Search services. Follow the links below to get started: + + + + + diff --git a/www/pages/docs/get-started/retriever-experiments.mdx b/www/pages/docs/get-started/retriever-experiments.mdx new file mode 100644 index 0000000..e69de29 diff --git a/www/pages/docs/get-started/run-tests.mdx b/www/pages/docs/get-started/run-tests.mdx new file mode 100644 index 0000000..6c3cd41 --- /dev/null +++ b/www/pages/docs/get-started/run-tests.mdx @@ -0,0 +1,18 @@ +import { Callout } from 'nextra/components'; + +# Run Tests + + +Once you have installed the dependencies, you can run the unit tests to verify that the installation was successful. + + +The unit tests are implemented in files starting with `test_` under `tests` directory. You can run the following command to run a single unit test, for example, `test_retriever_general.py` + +```python +python -m pytest tests/test_retriever_general.py +``` +Alternatively, you can all unit tests with the following command: + +```python +python -m pytest tests +``` diff --git a/www/pages/docs/index.mdx b/www/pages/docs/index.mdx new file mode 100644 index 0000000..de553ec --- /dev/null +++ b/www/pages/docs/index.mdx @@ -0,0 +1,46 @@ +import { RocketIcon, Code2Icon } from 'lucide-react'; + +# What is Denser Retriever? + + + } href="/docs/quick-start" title="Quick Start" arrow /> + } href="/examples" title="Examples" arrow /> + + +The Retriever Augmented Generation (RAG) framework is pivotal in enhancing AI applications through the use of Large Language Models (LLMs). Within RAG, the Retriever component (denoted as 'R') is fundamental. Presently, vector databases are commonly employed as the default retriever. Yet, in various scenarios, relying solely on a vector database does not yield the best outcomes. The Denser Retriever project is set to establish a unified and extensive Retriever hub. This hub will not only incorporate the vector database, which is optimized for recall, but also integrate traditional keyword-based search methods, optimized for precision, along with alternatives like ML rerankers. Our goal is to deliver an Enterprise-grade AI retriever solution that seamlessly integrates to enhance your AI applications. + +## Features + +The initial release of Denser Retriever provides the following features. + +- Including various retrievers such as keyword search, vector search, hybrid, and optionally with a ML reranker +- Providing step-by-step guidance to setup keyword and vector search services (elasticsearch and milvus), which are utilized to support various retrievers +- Benchmarking on MTEB datasets with different retrievers to assess the quality of various retrievers +- A unified framework for both passage and long documents retrieval tasks +- Demonstrating how to use Denser retriever to power an end-to-end AI chat application + +We will set up a Denser Retriever forum and collect feedback to define our future roadmap. + +## Principles + +Our mission is to develop and deliver enterprise-grade AI retrieval solutions in collaboration with both the research community and industry. As many software solutions focus on retrieval-augmented generation, we are guided by the following principles in our ongoing development: + +- We are committed to recommending an optimal enterprise-grade AI retriever, with a primary focus on accuracy while also considering factors such as latency and deployment costs. + +- We prioritize scalability, security, and service availability in our recommendations for optimal retrieval solutions, as these are essential requirements for enterprise-grade software. + +## Why Denser Retriever? + +- Proudly Open Source +- Ready for Enterprise +- Scalable +- Flexible +- Easy to Use + +## Get in Touch + +We are excited to hear your feedback and suggestions. Please feel free to reach out to us at + +- [Github Repository](https://github.com/denser-org/denser-retriever) +- [Discord Channel](https://discord.gg/) +- [Email](mailto:support@denser.ai) diff --git a/www/pages/docs/quick-start.mdx b/www/pages/docs/quick-start.mdx new file mode 100644 index 0000000..e69de29 diff --git a/www/pages/examples/_meta.json b/www/pages/examples/_meta.json new file mode 100644 index 0000000..95cace4 --- /dev/null +++ b/www/pages/examples/_meta.json @@ -0,0 +1,8 @@ +{ + "-- Switcher": { + "type": "separator", + "title": "Switcher" + }, + "index": "Overview", + "e2e-chat-app": "E2E Chat App" +} diff --git a/www/pages/examples/e2e-chat-app.mdx b/www/pages/examples/e2e-chat-app.mdx new file mode 100644 index 0000000..e69de29 diff --git a/www/pages/examples/index.mdx b/www/pages/examples/index.mdx new file mode 100644 index 0000000..123e508 --- /dev/null +++ b/www/pages/examples/index.mdx @@ -0,0 +1,13 @@ +# Guides + +import { Callout } from "nextra/components"; + + + The examples section is work-in-progress. We want to collect all end-to-end + examples of how to use Denser Retriever here. + + +## Examples + +WIP + diff --git a/www/pages/global.css b/www/pages/global.css new file mode 100644 index 0000000..0f0ff2a --- /dev/null +++ b/www/pages/global.css @@ -0,0 +1,76 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +@layer base { + :root { + --background: 0 0% 100%; + --foreground: 240 10% 3.9%; + + --card: 0 0% 100%; + --card-foreground: 240 10% 3.9%; + + --popover: 0 0% 100%; + --popover-foreground: 240 10% 3.9%; + + --primary: 240 5.9% 10%; + --primary-foreground: 0 0% 98%; + + --secondary: 240 4.8% 95.9%; + --secondary-foreground: 240 5.9% 10%; + + --muted: 240 4.8% 95.9%; + --muted-foreground: 240 3.8% 46.1%; + + --accent: 240 4.8% 95.9%; + --accent-foreground: 240 5.9% 10%; + + --destructive: 0 84.2% 60.2%; + --destructive-foreground: 0 0% 98%; + + --border: 240 5.9% 90%; + --input: 240 5.9% 90%; + --ring: 240 10% 3.9%; + + --radius: 0.5rem; + } + + .dark { + --background: 240 10% 3.9%; + --foreground: 0 0% 98%; + + --card: 240 10% 3.9%; + --card-foreground: 0 0% 98%; + + --popover: 240 10% 3.9%; + --popover-foreground: 0 0% 98%; + + --primary: 0 0% 98%; + --primary-foreground: 240 5.9% 10%; + + --secondary: 240 3.7% 15.9%; + --secondary-foreground: 0 0% 98%; + + --muted: 240 3.7% 15.9%; + --muted-foreground: 240 5% 64.9%; + + --accent: 240 3.7% 15.9%; + --accent-foreground: 0 0% 98%; + + --destructive: 0 62.8% 30.6%; + --destructive-foreground: 0 0% 98%; + + --border: 240 3.7% 15.9%; + --input: 240 3.7% 15.9%; + --ring: 240 4.9% 83.9%; + } +} + +@layer base { + * { + @apply border-border; + } + body { + @apply bg-background text-foreground; + } +} diff --git a/www/pages/index.mdx b/www/pages/index.mdx new file mode 100644 index 0000000..f73b6b1 --- /dev/null +++ b/www/pages/index.mdx @@ -0,0 +1,7 @@ +--- +title: DenserRetriever – Next Generation AI Retriever +--- + +import Home from "../components/home"; + + diff --git a/www/pnpm-lock.yaml 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new file mode 100644 index 0000000..33ad091 --- /dev/null +++ b/www/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/www/public/images/background.svg b/www/public/images/background.svg new file mode 100644 index 0000000..bea98ef --- /dev/null +++ b/www/public/images/background.svg @@ -0,0 +1,2 @@ + + diff --git a/www/sst-env.d.ts b/www/sst-env.d.ts new file mode 100644 index 0000000..d11d29b --- /dev/null +++ b/www/sst-env.d.ts @@ -0,0 +1 @@ +/// diff --git a/www/sst.config.ts b/www/sst.config.ts new file mode 100644 index 0000000..8de7c75 --- /dev/null +++ b/www/sst.config.ts @@ -0,0 +1,20 @@ +/// + +export default $config({ + app(input) { + return { + name: "retriever-docs", + removal: input?.stage === "production" ? "retain" : "remove", + home: "aws", + providers: { + aws: { + region: "us-west-2", + profile: input?.stage === "production" ? undefined : "denser", + }, + }, + }; + }, + async run() { + new sst.aws.Nextjs("RetrieverDocs"); + }, +}); diff --git a/www/tailwind.config.js b/www/tailwind.config.js new file mode 100644 index 0000000..fc43c85 --- /dev/null +++ b/www/tailwind.config.js @@ -0,0 +1,77 @@ +/** @type {import('tailwindcss').Config} */ +module.exports = { + darkMode: ["class"], + content: [ + './pages/**/*.{ts,tsx,mdx}', + './components/**/*.{ts,tsx,mdx}', + './app/**/*.{ts,tsx}', + 'theme.config.tsx' + ], + prefix: "", + theme: { + container: { + center: true, + padding: "2rem", + screens: { + "2xl": "1400px", + }, + }, + extend: { + colors: { + border: "hsl(var(--border))", + input: "hsl(var(--input))", + ring: "hsl(var(--ring))", + background: "hsl(var(--background))", + foreground: "hsl(var(--foreground))", + primary: { + DEFAULT: "hsl(var(--primary))", + foreground: "hsl(var(--primary-foreground))", + }, + secondary: { + DEFAULT: "hsl(var(--secondary))", + foreground: "hsl(var(--secondary-foreground))", + }, + destructive: { + DEFAULT: "hsl(var(--destructive))", + foreground: "hsl(var(--destructive-foreground))", + }, + muted: { + DEFAULT: "hsl(var(--muted))", + foreground: "hsl(var(--muted-foreground))", + }, + accent: { + DEFAULT: "hsl(var(--accent))", + foreground: "hsl(var(--accent-foreground))", + }, + popover: { + DEFAULT: "hsl(var(--popover))", + foreground: "hsl(var(--popover-foreground))", + }, + card: { + DEFAULT: "hsl(var(--card))", + foreground: "hsl(var(--card-foreground))", + }, + }, + borderRadius: { + lg: "var(--radius)", + md: "calc(var(--radius) - 2px)", + sm: "calc(var(--radius) - 4px)", + }, + keyframes: { + "accordion-down": { + from: { height: "0" }, + to: { height: "var(--radix-accordion-content-height)" }, + }, + "accordion-up": { + from: { height: "var(--radix-accordion-content-height)" }, + to: { height: "0" }, + }, + }, + animation: { + "accordion-down": "accordion-down 0.2s ease-out", + "accordion-up": "accordion-up 0.2s ease-out", + }, + }, + }, + plugins: [require("tailwindcss-animate")], +} diff --git a/www/theme.config.tsx b/www/theme.config.tsx new file mode 100644 index 0000000..1f697f7 --- /dev/null +++ b/www/theme.config.tsx @@ -0,0 +1,185 @@ +import { Code2, LibraryBig, SquircleIcon } from "lucide-react"; +import Link from "next/link"; +import { useRouter } from "next/router"; +import { + Card, + Cards, + DocsThemeConfig, + Steps, + Tab, + Tabs, + useConfig, +} from "nextra-theme-docs"; +import { Frame } from "./components/frame"; +import { Icons } from "./components/icons"; +import { MainContainer } from "./components/main-container"; + +const config: DocsThemeConfig = { + logo: ( +
+ + DenserRetriever +
+ ), + main: MainContainer, + search: { + placeholder: "Search...", + }, + navbar: { + extraContent: ( + <> + + + + + + + + + + + {/* */} + + {/* */} + + ), + }, + sidebar: { + defaultMenuCollapseLevel: 1, + toggleButton: true, + titleComponent: ({ type, title, route }) => { + const { asPath } = useRouter(); + if (type === "separator" && title === "Switcher") { + return ( +
+ {[ + { title: "Docs", path: "/docs", Icon: LibraryBig }, + { title: "Examples", path: "/examples", Icon: Code2 }, + ].map((item) => + asPath.startsWith(item.path) ? ( +
+ + {item.title} +
+ ) : ( + + + {item.title} + + ) + )} +
+ ); + } + return title; + }, + }, + editLink: { + text: "Edit this page on GitHub", + }, + toc: { + backToTop: true, + }, + docsRepositoryBase: "https://github.com/denser-org/retriever-docs/tree/main", + footer: { + text: ( + + 2024 ©{" "} + + Denser.ai + + . All rights reserved. + + ), + }, + head: () => { + const { asPath, defaultLocale, locale } = useRouter(); + const { frontMatter, title: pageTitle } = useConfig(); + const url = + "https://denser.ai" + + (defaultLocale === locale ? asPath : `/${locale}${asPath}`); + + const description = frontMatter.description ?? ""; + + // const title = frontMatter.title ?? pageTitle; + + // const section = asPath.startsWith("/docs") + // ? "Docs" + // : asPath.startsWith("/changelog/") + // ? "Changelog" + // : ""; + + return ( + <> + + + + + + + + {/* {video && } */} + + {/* */} + {/* */} + + + + + + + + + + ); + }, + components: { + Frame, + Tabs, + Tab, + Steps, + Card, + Cards, + }, +}; + +export default config; diff --git a/www/tsconfig.json b/www/tsconfig.json new file mode 100644 index 0000000..513990b --- /dev/null +++ b/www/tsconfig.json @@ -0,0 +1,23 @@ +{ + "compilerOptions": { + "target": "es5", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": false, + "forceConsistentCasingInFileNames": true, + "noEmit": true, + "incremental": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "node", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "preserve", + "paths": { + "@/*": ["./*"] + } + }, + "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "pages/_app.mdx"], + "exclude": ["node_modules","sst.config.ts"] +} diff --git a/www/utils/cn.ts b/www/utils/cn.ts new file mode 100644 index 0000000..df73a55 --- /dev/null +++ b/www/utils/cn.ts @@ -0,0 +1,6 @@ +import { ClassValue, clsx } from "clsx"; +import { twMerge } from "tailwind-merge"; + +export function cn(...inputs: ClassValue[]) { + return twMerge(clsx(inputs)); +}