Embeddings and Vector Databases

1. Your next big step in AI engineering

2. What are embeddings?

3. Set up environment variables

4. Create an embedding

5. Challenge: Pair text with embedding

6. Vector databases

7. Set up your vector database with Supabase

8. Store vector embeddings

9. Semantic search

10. Query embeddings using similarity search

11. Create a conversational response using OpenAI

12. Chunking text from documents

13. Challenge: Split text, get vectors, insert into Supabase

14. Error handling

15. Query database and manage multiple matches

16. AI chatbot proof of concept

17. Retrieval-augmented generation (RAG)

18. Solo Project: PopChoice

19. You made it to the finish line!