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Use Vector Databases with Embeddings

HardNLP00:00
Airwallex Pty
Your interviewer · AI Engineer
In session
Interviewer

Welcome to your interview for the AI Engineer role at Airwallex Pty.

The question is on your right: Use Vector Databases with Embeddings. Take a moment with it first.

Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen. You have three graded attempts to score 7/10 or better.

Only Submit answer is graded - discussion is free practice.

Problem

Scenario

You're building a system where a language model needs to find relevant text from a document collection before answering a user query. You want to use embeddings and a vector database so semantically similar content can be retrieved even when the wording differs.

Question

How would you use embedding vector databases in an AI system?

What this tests

  • Embedding generation for text chunks and queries
  • Vector search and nearest-neighbor retrieval
  • How retrieval supports a RAG pipeline
  • Trade-offs versus keyword search or fine-tuned QA