A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

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​.

Simple, Elastic-quality search for Postgres

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

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.

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.

RAG Time: A 5-week Learning Journey to Mastering RAG

Embeddable, in-memory, document-oriented database with a high-level Query builder interface.

The codebase for the book "AI-Powered Search" (Manning Publications, 2025)

A cutting-edge search engine project tailored specifically for the AI product

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。企业级SaaS版本请访问：

Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available in cloud https://endee.io/

Coltt 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.

Local-first RAG server for developers using MCP. Semantic + keyword search for code and technical docs. Fully private, zero setup.

Production-ready RAG backend. Start in 5 min, swap Vector DB/LLM/Reranker with 1 line config. 6 DBs, 4 LLMs, GraphRAG included.

Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, schemas, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular frontends, FastAPI backend, REST API, MCP Server. Please 🌟 Star

Swfit library for fuzzy search. No dependencies lib.

This repository is part of a course on Elasticsearch in Python. It includes notebooks that demonstrate its usage, along with a YouTube series to guide you through the material.

DocMind AI is a powerful, open-source Streamlit application leveraging LlamaIndex, LangGraph, and local Large Language Models (LLMs) via Ollama, LMStudio, llama.cpp, or vLLM for advanced document analysis. Analyze, summarize, and extract insights from a wide array of file formats, securely and privately, all offline.