The database of free AI tools on GitHub

AI search and RAG across multiple apps without moving data.

Govern AI agent actions with a semantic ontology-based platform.

AI search engine with RAG and vector database for self-hosting

A state-of-the-art retrieval-augmented generation system for knowledge bases.

Transform documents into knowledge graphs for better retrieval and generation.

AI job intelligence for scraping, ranking, and tailoring job 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 & C

Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no chan

Program that lets you ask questions about your documents and audio or video files.

🧠 The Brain for Your AI — Local-first memory engine for AI agents. Store, recall, and search memories with semantic embeddings. Single Rust binary, zero config, fully offline.

AI, fully local on your computer.

A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective.

Local AI-powered document search and editing with first-in-class hybrid retrieval, LLM answers, WebUI, REST API and MCP support for AI clients.

Multi-repo semantic code search MCP server in Rust — hybrid vector + BM25 retrieval, tree-sitter AST chunking, fully offline. For OpenCode, Claude Code, Cursor, and any MCP client.

Knowledge-graph RAG built from structured metadata instead of LLM extraction. 929M edges, zero LLM calls, 83.2% on held-out PubMedQA. Case study: the full PubMed 2026 baseline.

Zero downtime embedding upgrades

NeuronDB PostgreSQL extension: vector similarity search (HNSW, IVFFlat), embeddings, kNN, ML in SQL, and hybrid full-text + vector retrieval.