Vector Search RAG Tutorial – Combine Your Data with LLMs with Advanced Search // TRAIN BRAIN

Vector Search RAG Tutorial – Combine Your Data with LLMs with Advanced Search

Learn how to use vector search and embeddings to easily combine your data with large language models like GPT-4. You will first learn the concepts and then create three projects.
✏️ Course developed by Beau Carnes.
? Access MongoDB Atlas: https://cloud.mongodb.com/
?️ MongoDB provided a grant to make this course possible.
⭐️ Contents ⭐️
⌨️ (00:00) Introduction
⌨️ (01:09) What are vector embeddings?
⌨️ (02:31) What is vector search?
⌨️ (03:32) MongoDB Atlas vector search
⌨️ (04:15) Project 1: Semantic search for movie database
⌨️ (28:56) Project 2: RAG with Atlas Vector Search, LangChain, OpenAI
⌨️ (50:38) Project 3: Chatbot connected to your documentation
? Thanks to our Champion and Sponsor supporters:
? davthecoder
? jedi-or-sith
? 南宮千影
? Agustín Kussrow
? Nattira Maneerat
? Heather Wcislo
? Serhiy Kalinets
? Justin Hual
? Otis Morgan
? Oscar Rahnama
--
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