ROADMAP / BLOCK 3 / CH. 06

Databases for AI: Vector Stores, Graph DBs & More

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Vector Stores (core):

Other DBs and data:

INTERVIEW QUESTIONS THIS CHAPTER ANSWERS

Q1

What is an embedding and how is it used?

Q2

How does cosine similarity work for semantic search?

Q3

pgvector vs Pinecone — when would you choose each?

Q4

What chunking strategy would you use for a 100-page PDF?

Q5

When would you use a graph DB vs a vector DB in an AI system?

Q6

What role does Redis play in an agent harness?

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