Library
In-depth technical guides and references. Each book is a structured, multi-chapter resource you can read online — free and open.
A comprehensive, beginner-friendly guide to building production-grade AI applications using modern LangChain. Learn to orchestrate LLMs, construct pipelines with LCEL, build stateful agents using LangGraph, switch easily between cloud/local models (OpenAI, Gemini, Groq, Ollama), and trace everything with LangSmith.
A comprehensive, developer-first guide to mastering Retrieval-Augmented Generation (RAG) in Python. Build production-grade semantic search pipelines covering document ingestion, text splitting, embeddings, vector stores, re-ranking, and pipeline evaluation.