AI Agent Skills

[ICLR 2026] LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

A comprehensive guide to building RAG-based LLM applications for production.

NextPlaid, ColGREP: Multi-vector search, from database to coding agents.

制作懂人情世故的大语言模型 | 涵盖提示词工程、RAG、Agent、LLM微调教程

Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.

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

A filesystem designed for agents, with SOTA retrieval, automatic memory profiles, sync engine. Drop any file type (pdf, images, videos), and grep through them.

Context drive for your AI agents

🤖 Deploy a private ChatGPT alternative hosted within your VPC. 🔮 Connect it to your organization's knowledge base and use it as a corporate oracle. Supports open-sourc…

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

The retrieval layer for production AI systems. Lightning-fast (<10ms) search without vector databases. Built for browser, edge, on-device, and cloud.

🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 O…

A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data

Cache-Augmented Generation: A Simple, Efficient Alternative to RAG

Official Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]