Search awesome repositories

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that interact with your data and UI.

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

Practical course about Large Language Models.

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

The open document intelligence platform for builders and hackers - DMS for the agentic world

Ground truth layer for humans and AI agents working together. Version control for knowledge.

local-first semantic code search engine

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

Epsilla is a high performance Vector Database Management System

A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.

The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.

The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.

A Python vector database you just need - no more, no less.

A NodeJS RAG framework to easily work with LLMs and embeddings

A dead-simple API to build LLM-powered apps

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

Mercury - Train your own custom GPT. Chat with any file, or website.

Quickly and easily build AI website or application by using embeddings!

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

Fast similarity search using DuckDB

Use local files or public GitHub repository as a source and ask questions through ChatGPT about it

Universal vector search wrapper for Postgres, MySQL, SQLite (pgvector, Vector Store, sqlite‑vss).

Turn your Readwise library into a blazing-fast, self-hosted semantic search engine – complete with nightly syncs, vector search API, Prometheus metrics, and a streaming MCP server for LLM clients.

Sophisticated AI chatbot with long-term memory capabilities, complete Notion workspace integration, and MCP (Model Context Protocol) implementation. Features semantic, episodic, and procedural memory systems.

Fast Python web crawler for RAG and AI ingestion. Extracts clean Markdown from any site for LLMs and vector stores.

Project-aware collection management based on Qdrant, including a Rust MCP, daemon and CLI: hybrid semantic, pattern and full-text (FTS5) search into single or cross-concerns collection. Dedicated collections for knowledge library, LLM behavioral rules, and an LLM scratchpad