Lists (8)
Stars
Build Real-Time Knowledge Graphs for AI Agents
Environments for LLM Reinforcement Learning
Anthropic's Interactive Prompt Engineering Tutorial
Generate HTML forms from Pydantic models for your FastHTML application
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
A roadmap for "generative AI" learning resources
Build resilient language agents as graphs.
Brings MCP to ChatGPT, DeepSeek, Perplexity, Grok, Gemini, Google AI Studio, OpenRouter, DeepSeek, T3 Chat and more...
Supporting materials for the Weaviate Agents Webinar, scheduled for April 2025
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
RAGChecker: A Fine-grained Framework For Diagnosing RAG
Cohere Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.
Starter app to build with the OpenAI Responses API
Demo of a customer support agent interface using NextJS and the OpenAI Responses API with File Search
Lightweight coding agent that runs in your terminal
The AI Browser Automation Framework
aider is AI pair programming in your terminal
The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
Scalar is an open-source API platform: 🌐 Modern Rest API Client 📖 Beautiful API References …
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
Contextual Retrieval solves this problem by prepending chunk-specific explanatory context to each chunk before embedding (“Contextual Embeddings”) and creating the BM25 index (“Contextual BM25”).
The best way to start a full-stack, typesafe Next.js app