Project — Build a Document Processing Agent with Multi-Modal Inputs
Build a LangGraph agent that reads PDFs, images, and text, cross-checks facts across sources, and writes a clean JSON report — with full code...
Build a LangGraph agent that reads PDFs, images, and text, cross-checks facts across sources, and writes a clean JSON report — with full code...
Learn to build a LangGraph customer support agent that classifies queries, searches a knowledge base, escalates to humans, and logs every step.
Learn to build a LangGraph pipeline that scrapes websites on its own, pulls structured data, handles pagination and errors, and writes analytical reports.
Build a multi-agent research pipeline in LangGraph with planner, researcher, writer, and reviewer agents that turn any topic into a polished report.
Build a full-stack AI app from scratch with FastAPI and LangGraph — streaming responses, saved chats, API key auth, and a live chat frontend...
Build LangGraph agents that return validated, typed data using Pydantic models — with automatic retry loops that self-correct on validation failures.
Step-by-step guide to building a LangGraph agent that writes Python code, runs it safely, checks the output, and self-corrects until it works.
Deploy LangGraph agents as scalable APIs with LangGraph Server — step-by-step guide covering SDK setup, streaming, background runs, and cloud hosting.
Step-by-step guide to building a LangGraph SQL agent that turns plain English into SQL, runs queries, retries on errors, and explains results clearly.
Build a RAG agent in LangGraph that routes questions, grades documents, detects hallucinations, and rewrites queries when results are poor. Full code included.
Learn how to run LangGraph branches in parallel using the Send API and map-reduce pattern to process multiple items at once and merge results...
Master LangGraph cycles and recursion limits — stop runaway agents, handle GraphRecursionError, and build clean exit strategies for your loops.
Build multi-agent AI systems in LangGraph using supervisor, swarm, and network patterns — with full code for each and a guide to choosing the...
Save and resume LangGraph agent state with checkpointers so your conversations survive crashes, restarts, and long breaks between sessions.
Make your LangGraph agents production-ready with retry logic, fallback paths, and error tracking that keeps pipelines alive when things go wrong.
Learn to build a ReAct agent from scratch in LangGraph with this hands-on guide — wire the think-act-observe loop, add tools, and debug agent...
Build LangGraph agents that call tools with @tool, bind_tools, and ToolNode. Step-by-step examples for web search, database queries, and API calls in Python.
Understand LangGraph nodes edges state and conditional routing through visual diagrams and runnable Python examples you can copy and extend.
Build LangGraph workflows that branch at runtime using conditional edges and routing functions. Route by LLM output, user input, or custom logic with examples.
Discover what is LangGraph, how it compares to LangChain, and when graph-based orchestration is the right choice for building reliable AI agents.