Library
In-depth technical guides and references. Each book is a structured, multi-chapter resource you can read online — free and open.
Master LangGraph from first principles and learn how to build production-ready AI applications using state machines, graph-based workflows, durable execution, and agentic architectures. This hands-on guide starts with the fundamentals of State, Nodes, Edges, Reducers, and Topology before progressing into conversational memory, LLM nodes, tool calling, multi-agent systems, checkpointing, human-in-the-loop workflows, and enterprise-grade AI architectures. Whether you already know LangChain or are exploring modern agent frameworks for the first time, this book will help you understand not just how LangGraph works, but why it exists and how to design reliable, maintainable, and scalable AI systems with it. Topics include: • State Management • Reducers and Aggregation • Graph Topology and Routing • Conversational Memory • Structured Outputs • Tool Calling • Agent Loops • Multi-Agent Systems • Checkpointing and Durable Execution • Human-in-the-Loop Workflows • Production Deployment Patterns By the end of this book, you will be able to design, implement, and deploy sophisticated AI agents that go far beyond simple prompts and chatbots.
A comprehensive, beginner-friendly yet production-focused guide to understanding, designing, building, operating, and scaling modern e-commerce platforms, multi-vendor marketplaces, and AI-powered commerce systems. This book starts with the fundamentals of commerce and gradually progresses into product catalogs, inventory management, payments, order processing, marketplace architecture, distributed systems, search engines, recommendation systems, analytics, AI assistants, agentic workflows, and large-scale production architecture. By the end of the book, readers will understand not only how modern commerce platforms work, but also how to architect systems comparable to Amazon, Shopify, Etsy, Daraz, and next-generation AI-native commerce platforms.
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.