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00:00 - What are Embeddings?
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Classroom Contents
How RAG Finds Answers in Millions of Documents - Embeddings, Vector Databases, LangChain and Supabase
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- 1 00:00 - What are Embeddings?
- 2 02:00 - Toy example
- 3 05:56 - Using pre-trained embedding model with LangChain
- 4 09:28 - How to choose embedding model
- 5 11:01 - Do you need a vector database?
- 6 12:45 - Supabase install and setup
- 7 15:16 - Use Supabase vectors with LangChain
- 8 18:47 - Metadata filtering
- 9 20:22 - Conclusion
