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Vector Databases

Approximate nearest-neighbour search, filtering and re-indexing.

4Questions
6Flashcards
2Terms
Drill this topic All of AI-Era Architecture
Questions

4 to work through

  1. intermediate

    A team needs vector search. When is a dedicated vector database justified over adding vector search to an existing store?

    2 min answer
  2. intermediate

    A team wants a dedicated vector database for a RAG system over 200,000 documents. Is it necessary?

    2 min answer
  3. advanced Multiple choice

    A multi-tenant assistant searches one HNSW index of 200M vectors and filters results to the requesting tenant. Large tenants are fine. For tenants with only a few thousand documents recall collapses and latency triples. Which change fixes it?

    3 min answer
  4. advanced Multiple choice

    A platform needs similarity search over a large and growing corpus. What decides between a dedicated vector database, a vector extension to an existing store, and a search engine with vector support?

    2 min answer
Terminology

2 terms in this topic

concept

Approximate Nearest Neighbour Index

An index that trades exactness for speed when finding similar vectors, making large-scale semantic search feasible.

 pattern

Filtered Vector Search

Combining a metadata predicate with approximate nearest-neighbour search - where the predicate's selectivity, not the corpus size, decides whether re…
AI-Era Architecture

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