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

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This tutorial explains vector embeddings and vector search, then applies them in projects for movie-database semantic search, retrieval augmented generation, and a documentation chatbot.

Syllabus

⌨️ Introduction
⌨️ What are vector embeddings?
⌨️ What is vector search?
⌨️ MongoDB Atlas vector search
⌨️ Project 1: Semantic search for movie database
⌨️ Project 2: RAG with Atlas Vector Search, LangChain, OpenAI
⌨️ Project 3: Chatbot connected to your documentation

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