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.

💻 Code: https://github.com/beaucarnes/vector-...

🔗 Access MongoDB Atlas: https://cloud.mongodb.com/

🏗️ MongoDB provided a grant to make this course possible.

⭐️ Contents ⭐️
⌨️ (00:00) Introduction
⌨️ (01:18) What are vector embeddings?
⌨️ (02:39) What is vector search?
⌨️ (03:40) MongoDB Atlas vector search
⌨️ (04:30) Project 1: Semantic search for movie database
⌨️ (32:55) Project 2: RAG with Atlas Vector Search, LangChain, OpenAI
⌨️ (54:36) 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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