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A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

Spec-driven development for large codebases

An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

HelixDB is an open-source graph-vector database built from scratch in Rust.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI

Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

AdalFlow: The library to build & auto-optimize LLM applications.

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

Harness LLMs with Multi-Agent Programming

The most accurate document search and store for building AI apps

AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.

A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.

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

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

The pretty much "official" DSPy framework for Typescript

All-in-one platform for search, recommendations, RAG, and analytics offered via API

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance

Research project. A Memory solution for users, teams, and applications.