AI Agent Skills

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

100+ AI Agent & RAG apps you can actually run — clone, customize, ship.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, Pos…

📚 从零开始构建大模型

本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

Neo4j graph construction from unstructured data using LLMs

One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.

📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) us…

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Open Source AI Platform - AI Chat with advanced features that works with every LLM

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval

All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.

The pretty much "official" DSPy framework for Typescript

Structured data extraction and instruction calling with ML, LLM and Vision LLM