Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
AdalFlow: The library to build & auto-optimize LLM applications.
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
PostgreSQL extension for BM25 relevance-ranked full-text search. Postgres OSS licensed.
Local-first search across your workspace, built for humans and AI agents.
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
Fast BM25 search in Python, powered by Numpy and Numba
A Collection of BM25 Algorithms in Python
Developer friendly Natural Language Processing ✨
Transparent Python RAG reference with FAISS + BM25 hybrid retrieval, reranking, Gradio UI, and FastAPI.
Similarities: a toolkit for similarity calculation and semantic search. 相似度计算、匹配搜索工具包，支持亿级数据文搜文、文搜图、图搜图，python3开发，开箱即用。
Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search indexes (Dense + Sparse + RRF + Reranker) across 7 languages. Ships as native MCP tools for Claude Code and Codex CLI.
The First Real-Time Search Analytics Database
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
Open-source, Git-native memory for AI coding agents — deterministic local recall for Claude Code, Codex, Cursor, Gemini CLI, and compatible tools.
Supercharge AI Agents, Safely
Neural Search
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