AI Agent Skills

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

Neo4j graph construction from unstructured data using LLMs

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

Data framework for building RAG and knowledge workflows around agent tasks.

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

The AI search platform

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to trad…

Full-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box.

Build Real-Time Knowledge Graphs for AI 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…

Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.