AI Agent Skills

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

《大模型白盒子构建指南》：一个全手搓的Tiny-Universe

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

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

Everything you need to know to build your own RAG application

A simple, easy-to-hack GraphRAG implementation

User Profile-Based Long-Term Memory for AI Chatbot Applications.

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

Rust library for generating vector embeddings, reranking locally!

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

动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation

Procedure for extracting structured data from PDFs with opendataloader-pdf (ODL) correctly: read the installed tool's own help to discover its current options, build the…

Empowering RAG with a memory-based data interface for all-purpose applications!

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

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