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Add Corrective RAG LlamaPack (#10715)
* Add Corrective RAG LlamaPack * Update with review suggestions * Remove requirements.txt file * Update BUILD * Update examples * Testing done
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llama-index-packs/llama-index-packs-corrective-rag/.gitignore
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llama_index/_static | ||
.DS_Store | ||
# Byte-compiled / optimized / DLL files | ||
__pycache__/ | ||
*.py[cod] | ||
*$py.class | ||
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# C extensions | ||
*.so | ||
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# Distribution / packaging | ||
.Python | ||
bin/ | ||
build/ | ||
develop-eggs/ | ||
dist/ | ||
downloads/ | ||
eggs/ | ||
.eggs/ | ||
etc/ | ||
include/ | ||
lib/ | ||
lib64/ | ||
parts/ | ||
sdist/ | ||
share/ | ||
var/ | ||
wheels/ | ||
pip-wheel-metadata/ | ||
share/python-wheels/ | ||
*.egg-info/ | ||
.installed.cfg | ||
*.egg | ||
MANIFEST | ||
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# PyInstaller | ||
# Usually these files are written by a python script from a template | ||
# before PyInstaller builds the exe, so as to inject date/other infos into it. | ||
*.manifest | ||
*.spec | ||
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# Installer logs | ||
pip-log.txt | ||
pip-delete-this-directory.txt | ||
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# Unit test / coverage reports | ||
htmlcov/ | ||
.tox/ | ||
.nox/ | ||
.coverage | ||
.coverage.* | ||
.cache | ||
nosetests.xml | ||
coverage.xml | ||
*.cover | ||
*.py,cover | ||
.hypothesis/ | ||
.pytest_cache/ | ||
.ruff_cache | ||
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# Translations | ||
*.mo | ||
*.pot | ||
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# Django stuff: | ||
*.log | ||
local_settings.py | ||
db.sqlite3 | ||
db.sqlite3-journal | ||
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# Flask stuff: | ||
instance/ | ||
.webassets-cache | ||
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# Scrapy stuff: | ||
.scrapy | ||
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# Sphinx documentation | ||
docs/_build/ | ||
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# PyBuilder | ||
target/ | ||
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# Jupyter Notebook | ||
.ipynb_checkpoints | ||
notebooks/ | ||
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# IPython | ||
profile_default/ | ||
ipython_config.py | ||
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# pyenv | ||
.python-version | ||
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# pipenv | ||
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. | ||
# However, in case of collaboration, if having platform-specific dependencies or dependencies | ||
# having no cross-platform support, pipenv may install dependencies that don't work, or not | ||
# install all needed dependencies. | ||
#Pipfile.lock | ||
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow | ||
__pypackages__/ | ||
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# Celery stuff | ||
celerybeat-schedule | ||
celerybeat.pid | ||
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# SageMath parsed files | ||
*.sage.py | ||
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# Environments | ||
.env | ||
.venv | ||
env/ | ||
venv/ | ||
ENV/ | ||
env.bak/ | ||
venv.bak/ | ||
pyvenv.cfg | ||
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# Spyder project settings | ||
.spyderproject | ||
.spyproject | ||
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# Rope project settings | ||
.ropeproject | ||
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# mkdocs documentation | ||
/site | ||
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# mypy | ||
.mypy_cache/ | ||
.dmypy.json | ||
dmypy.json | ||
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# Pyre type checker | ||
.pyre/ | ||
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# Jetbrains | ||
.idea | ||
modules/ | ||
*.swp | ||
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# VsCode | ||
.vscode | ||
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# pipenv | ||
Pipfile | ||
Pipfile.lock | ||
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# pyright | ||
pyrightconfig.json |
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python_sources() | ||
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poetry_requirements( | ||
name="poetry", | ||
) |
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llama-index-packs/llama-index-packs-corrective-rag/Makefile
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GIT_ROOT ?= $(shell git rev-parse --show-toplevel) | ||
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help: ## Show all Makefile targets. | ||
@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[33m%-30s\033[0m %s\n", $$1, $$2}' | ||
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format: ## Run code autoformatters (black). | ||
pre-commit install | ||
git ls-files | xargs pre-commit run black --files | ||
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lint: ## Run linters: pre-commit (black, ruff, codespell) and mypy | ||
pre-commit install && git ls-files | xargs pre-commit run --show-diff-on-failure --files | ||
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test: ## Run tests via pytest. | ||
pytest tests | ||
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watch-docs: ## Build and watch documentation. | ||
sphinx-autobuild docs/ docs/_build/html --open-browser --watch $(GIT_ROOT)/llama_index/ |
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llama-index-packs/llama-index-packs-corrective-rag/README.md
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# Corrective Retrieval Augmented Generation Llama Pack | ||
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This LlamaPack implements the Corrective Retrieval Augmented Generation (CRAG) [paper](https://arxiv.org/pdf/2401.15884.pdf) | ||
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Corrective Retrieval Augmented Generation (CRAG) is a method designed to enhance the robustness of language model generation by evaluating and augmenting the relevance of retrieved documents through a an evaluator and large-scale web searches, ensuring more accurate and reliable information is used in generation. | ||
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This LlamaPack uses [Tavily AI](https://app.tavily.com/home) API for web-searches. So, we recommend you to get the api-key before proceeding further. | ||
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### Installation | ||
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```bash | ||
pip install llama-index llama-index-tools-tavily-research | ||
``` | ||
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## CLI Usage | ||
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You can download llamapacks directly using `llamaindex-cli`, which comes installed with the `llama-index` python package: | ||
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```bash | ||
llamaindex-cli download-llamapack CorrectiveRAGPack --download-dir ./corrective_rag_pack | ||
``` | ||
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You can then inspect the files at `./corrective_rag_pack` and use them as a template for your own project. | ||
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## Code Usage | ||
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You can download the pack to a the `./corrective_rag_pack` directory: | ||
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```python | ||
from llama_index.core.llama_pack import download_llama_pack | ||
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# download and install dependencies | ||
CorrectiveRAGPack = download_llama_pack( | ||
"CorrectiveRAGPack", "./corrective_rag_pack" | ||
) | ||
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# You can use any llama-hub loader to get documents! | ||
corrective_rag = CorrectiveRAGPack(documents, tavily_ai_api_key) | ||
``` | ||
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From here, you can use the pack, or inspect and modify the pack in `./corrective_rag_pack`. | ||
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The `run()` function contains around logic behind Corrective Retrieval Augmented Generation - [CRAG](https://arxiv.org/pdf/2401.15884.pdf) paper. | ||
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```python | ||
response = corrective_rag.run("<query>", similarity_top_k=2) | ||
``` |
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llama-index-packs/llama-index-packs-corrective-rag/examples/BUILD
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python_sources() |
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