Production RAG with LangChain & Vector Databases – Full Course

Q: Who is Production RAG with LangChain & Vector Databases – Full Course for?

This course is designed for learners with some foundational knowledge.

Q: Is Production RAG with LangChain & Vector Databases – Full Course free?

Yes, Production RAG with LangChain & Vector Databases – Full Course is completely free to watch on YouTube.

About this course

Learn to build, debug, optimize, and scale RAG systems for production. 🚀 Free Production AI Starter Kit: https://bit.ly/production-ai-pack This course teaches what tutorials skip: why 90% of RAG projects fail and how to fix them. 💻 Code, Parts 1-5: https://github.com/pdichone/production-course-main-code 💻 Code, Part 6: https://github.com/pdichone/fcc-production-rag-part-6 Paulo's channel: @vincibits ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Chapters ⭐️ 0:00:00 Intro 0:01:44 Full RAG Overview 0:08:27 Development Environment Setup 0:15:35 Document Loader - Overview 0:28:27 Document Processing Pipeline - RAG Indexing Pipeline 0:48:12 Embedding Dimensions - Deep Dive 1:01:05 Hands-on - Create a Vector DB Using Chroma 1:17:48 Similarity Search with Scores 1:24:32 Building a Basic RAG System 1:33:16 Debugging RAG Systems 1:53:46 Hybrid Search 1:13:49 Token Budgeting 2:21:10 Observability - Introduction 2:29:56 LangSmith Setup 2:37:56 RAG Optimization 3:12:58 Scaling RAG Systems 3:23:35 The Real Costs of Vector Search 3:33:17 Production Hosting 3:36:00 Supabase and PGVector - Set up and Introduction 4:04:41 Three Pillars of Production Visibility 4:16:11 Production Project 4:34:36 Set up the Security Layer 4:16:11 Set up the LangGraph Agent and the FastAPI API - Testing and LangSmith Observability Dashboard 5:27:46 Test the Security Layer 5:41:36 Security Checklist 6:06:09 Advanced RAG Topics - Long Context Models vs RAG 6:14:29 Contextual Retrieval 6:24:26 Late Chunking vs Early Chunking 6:42:04 Agentic RAG - Self-Correcting Retrieval 7:04:45 GraphRAG - Multi-hop Reasoning 7:24:28 Multimodal RAG - ColPali - Vision-Based Document RAG 7:34:45 Summary - Advanced RAG (Current State) 7:37:02 RAG Evolution - Overview 7:38:35 Outro 🎉 Thanks to our Champion and Sponsor supporters: 👾 @omerhattapoglu1158 👾 @goddardtan 👾 @akihayashi6629 👾 @kikilogsin 👾 @anthonycampbell2148 👾 @tobymiller7790 👾 @rajibdassharma497 👾 @CloudVirtualizationEnthusiast 👾 @adilsoncarlosvianacarlos 👾 @martinmacchia1564 👾 @ulisesmoralez4160 👾 @_Oscar_ 👾 @jedi-or-sith2728 👾 @justinhual1290 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

What learners say

AI summary

Learners find this a comprehensive and well-explained RAG course that covers both fundamentals and production-level concepts, often calling it one of the best free resources available. However, several note that the provided code repositories are disorganized, with missing or mismatched files, and that some sections are skipped or cut, making it difficult to follow along hands-on.

What learners praise