A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
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Updated
Jan 2, 2025 - Rust
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Postgres for Search and Analytics
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
Distributed vector search for AI-native applications
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite
A cutting-edge search engine project tailored specifically for the AI product
The codebase for the book "AI-Powered Search" (Manning Publications, 2024)
NNV(No-Named.V) is a vector database that supports Multi-Vector Search, high-performance HNSW, FLAT and quantization, and enables fast searches through sophisticated internal data shard design.
A LLM RAG system runs on your laptop. 大模型检索增强生成系统,可以轻松部署在笔记本电脑上,实现本地知识库智能问答。
Website for the Weaviate vector database
Hybrid Search with Postgres and Ecto
Semantic Search + Keyword Search + Hybrid Search + Filtering + Faceting on 300K HN Comments
Swfit library for fuzzy search. No dependencies lib.
Lite weight wrapper for the independent implementation of SPLADE++ models for search & retrieval pipelines. Models and Library created by Prithivi Da, For PRs and Collaboration checkout the readme.
Discord bot that knows a lot about Pokemons :)
OpenAI chatGPT hybrid search and retrieval augmented generation
Hybrid Search (BM25 & Vector) with SQLite
This project provides an example of consolidating Milvus (vector search engine) and PostgreSQL (relational database) to carry out the hybrid search of vectors and structured data.
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