Video course · 6 chapters · 72 min · certificate
Vector Search RAG Tutorial – Combine Your Data with LLMs with Advanced Search
Combine your data with LLMs using vector search: what embeddings and vector search are, MongoDB Atlas Vector Search, semantic movie search, RAG with Atlas, LangChain and OpenAI, and a chatbot connected to your documentation.
What you'll learn
- Explain vector embeddings
- Explain vector search vs keyword search
- Build semantic search with Atlas Vector Search
- Build RAG with LangChain and OpenAI
- Build a documentation chatbot
Chapters
6 chapters · 71:46-
1:18
01Intro Members
Introduction
Your data + LLMs.
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1:21
02Embeddings Members
Vector embeddings
Meaning as numbers.
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1:51
03Search Members
Vector search and Atlas
Meaning, not keywords.
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28:25
04Semantic Members
Project 1: semantic movie search
all-MiniLM-L6-v2.
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21:41
05RAG Members
Project 2: RAG
Atlas + LangChain + OpenAI.
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17:10
06Chatbot Members
Project 3: documentation chatbot
Your docs.
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