RAG

OpenKB: Open LLM Knowledge Base

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

Semantic search over videos using Gemini Embedding 2 or Qwen3-VL.

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

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

The Ruby AI framework.

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

CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

企业级 Agentic RAG 智能体 - 全链路覆盖文档解析、多路检索、意图识别、问题重写、会话记忆、MCP 工具调用与深度思考。面向真实业务场景，从 0 到 1 完整工程实现。

Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

Local-first search across your workspace, built for humans and AI agents.

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

Everything you need to know to build your own RAG application

AI system design guide for engineers building production AI systems and evals.

Harness LLMs with Multi-Agent Programming

Open-source GEO content engineering and multi-site distribution platform with AI quality inspection, illustrated admin help, hosted sites, browser-assisted publishing, and signed updates.

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.

[ICML'26] SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

A python library for self-supervised learning and latent world models on images.

AI-powered GitHub stars manager with semantic search, auto-categorization, and release tracking

Open-source AI coding assistant for VS Code. Coding agent, code completion, chat, edits and reviews with local or hosted models. Your models, your infrastructure.

Your Cheat Sheet for AI Engineering Interview – Questions and Answers.

⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

A curated list of Generative AI tools, works, models, and references

A library for transfer learning by reusing parts of TensorFlow models.

An open-source research agent system for your Zotero library.

[KDD'2026] "VideoRAG: Chat with Your Videos"

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Open-source inference server and production cluster for all the models your agent needs.

基于 Spring Boot 4.1、Java 25、Spring AI 2.0、React、PostgreSQL/pgvector、Redis 和 RustFS 构建的开源 AI 面试平台，支持简历智能分析、模拟面试、语音面试和知识库 RAG。

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

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

The Best GUI for Milvus

Find code by asking what it does. A CLI for coding agents that uses Jev to discover relevant files and source context.

The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.

Top2Vec learns jointly embedded topic, document and word vectors.

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Run OpenAI's CLIP and Apple's MobileCLIP model on iOS to search photos.

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

The no-code platform for building custom LLM Agents

AI-powered cross-platform e-book reader with semantic search, RAG chat, local vector store, notes, TTS, and WebDAV sync.

한국 문서를 읽고·고치고·새로 쓰는 AI 문서 도구 — HWP·HWPX·PDF·오피스·스캔(OCR)을 Markdown으로, 신구대조·서식 보존 편집·Markdown→HWPX 작성·HWP→HWPX 변환·양식 채우기·공문서 검수까지. 라이브러리·CLI·MCP | Read, diff, edit, write and convert Korean documents (HWP, HWPX, PDF, Office, scans) — library, CLI and MCP server

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.