AI Agent Skills

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle…

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

An out-of-the-box document retrieval workbench built on SAG

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

从 12,307 条推文中提炼的商业诊断方法论，做成 Claude Code skill。包含商业模式诊断、对标分析、内容创作诊断、执行力诊断、概念拆解 5 个工具。附带 4,176 个结构化知识原子，可用于 RAG 知识库。

ConardLi's open-source Skills collection, featuring web design, knowledge retrieval, image generation, and more.

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

Turn websites into clean markdown or structured data for retrieval and agents.