RAG

Drop-in AI memory layer with 2x faster retrieval and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code changes. Self-host for free.

Find out what your coding agents already know. Docmancer indexes the memory, rules, and instructions Claude Code, Codex, Cursor, and Gemini wrote on your machine, then carries the durable parts to every agent. It is local-first and under MIT license.

Build ChatGPT over your data, all with natural language

Implementation of the node2vec algorithm.

GPT-vup BIliBili | 抖音 | AI | 虚拟主播

A structural code search engine for Al agents.

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

A context harness for AI agents: all your scattered context — code, memory, docs, databases, SaaS — in one searchable, browsable, file-like interface.

2025 年 AI 编程助手实战项目（作者：程序员鱼皮），基于 Spring Boot 3.5 + Java 21 + LangChain4j + AI 构建智能编程学习与求职辅导机器人，覆盖 AI 大模型接入、LangChain4j 核心特性、流式对话、Prompt 工程、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、Web 爬虫、安全防护、Vue.js 前端开发、SSE 服务端推送等企业级 AI 应用开发技术。帮助开发者掌握 AI 时代必备技能，熟悉 LangChain 框架，提升编程学习效率和求职竞争力，成为企业需要的 AI 全栈开发人才。

The visual communication layer between humans and AI agents. Capture, annotate, render diagrams, and organize with AI — powered by Electron and Ollama. macOS & Linux.

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

完整的RAG技术教程 - 从基础概念到生产部署，系统化掌握检索增强生成技术。包含4个模块、20章内容、17个Jupyter Notebooks、6个企业级实战案例

Bringing BERT into modernity via both architecture changes and scaling

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

Postgres with GPUs for ML/AI apps.

A NodeJS RAG framework to easily work with LLMs and embeddings

GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration

The open source platform for AI-native application development.

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

[EMNLP'25 findings] An easy-to-use Graph RAG system using hierarchical knowledge.

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

AI-powered media search — find images and videos using natural language or visual queries

Transform your codebase into an intelligent knowledge base for AI-powered development with Cursor IDE, Google AntiGravity, and MCP-enabled assistants

[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"

SRA-Bench and SR-Agents: a benchmark and toolkit for skill-retrieval-augmented LLM agents.

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

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

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).

The no-code platform for building custom LLM Agents

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

Easily compute clip embeddings and build a clip retrieval system with them

Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.

Open Source Semantic Search for your AI Agent

🚀 Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.

Multi-tool for semantic search

ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.

A complete guide to start and improve your LLM skills in 2026 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

A tool for learning vector representations of words and entities from Wikipedia

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

This repository is deprecated and will be archived

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

A Graph RAG System for Evidenced-based Medical Information Retrieval [ACL 2025]

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Text-To-Speech, RAG, and LLMs. All local!

Nomic Developer API SDK

YouTube Full Text Search - Search all of YouTube from the command line

GibRAM is an in-memory knowledge graph server designed for retrieval augmented generation (RAG / GraphRAG) workflows.

Meet Ava, the WhatsApp Agent