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Look inside
In this liveProject, you'll step into the shoes of an AI engineer turning a retrieval-and-generation pipeline into an autonomous agent. Building on the retrieval, hybrid search, and grounded-answer components from the earlier projects, you'll design a LangGraph state machine that analyzes each incoming question, routes it, and decides when to retrieve. You'll wrap your hybrid retriever as a tool the agent can call, add a self-evaluation node that scores its own answers, and build an iterative refinement loop with retry and fallback strategies for when the first attempt falls short. Finally, you'll deploy the whole agentic workflow behind a FastAPI endpoint with basic logging and monitoring. By the end, you'll have a modular, agentic RAG system you can adapt to any large document corpus.
This project is a part of the series Building an Agentic RAG Application.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
prerequisites
This liveProject is for developers who want to build an agentic RAG system. This project builds on Projects 1-3; you'll need their reusable retrieve(query, k) and grounded-answer components (or equivalents).
TOOLS
- Intermediate Python
- Basics of Jupyter Notebooks
- Basics of the command line
- LangGraph
- Basics of state machines
- LLMs and prompting
- RAG at a high level
features
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- books included as resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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Building an Agentic RAG System with LangGraph project for free
Building an Agentic RAG System with LangGraph project for free
team
monthly
annual
$49.99
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only $41.67 per month
- five seats for your team
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free product every time you renew
- choose twelve free products per year
- exclusive 50% discount on all purchases
- renews monthly, pause or cancel renewal anytime
- renews annually, pause or cancel renewal anytime
-
![]()
Building an Agentic RAG System with LangGraph project for free
