Production RAG with LangChain & Vector Databases – Full 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 Receive SMS online on sms24.me
TubeReader video aggregator is a website that collects and organizes online videos from the YouTube source. Video aggregation is done for different purposes, and TubeReader take different approaches to achieve their purpose.
Our try to collect videos of high quality or interest for visitors to view; the collection may be made by editors or may be based on community votes.
Another method is to base the collection on those videos most viewed, either at the aggregator site or at various popular video hosting sites.
TubeReader site exists to allow users to collect their own sets of videos, for personal use as well as for browsing and viewing by others; TubeReader can develop online communities around video sharing.
Our site allow users to create a personalized video playlist, for personal use as well as for browsing and viewing by others.
@YouTubeReaderBot allows you to subscribe to Youtube channels.
By using @YouTubeReaderBot Bot you agree with YouTube Terms of Service.
Use the @YouTubeReaderBot telegram bot to be the first to be notified when new videos are released on your favorite channels.
Look for new videos or channels and share them with your friends.
You can start using our bot from this video, subscribe now to Production RAG with LangChain & Vector Databases – Full Course
What is YouTube?
YouTube is a free video sharing website that makes it easy to watch online videos. You can even create and upload your own videos to share with others. Originally created in 2005, YouTube is now one of the most popular sites on the Web, with visitors watching around 6 billion hours of video every month.
