ROADMAP / BLOCK 3 / CH. 06
Databases for AI: Vector Stores, Graph DBs & More
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This chapter is complete — everything below is ready to learn right now. The video companion walks through all of it, plus the build, when it lands.
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?