Back to Interview Hub

Vector DBs Questions

Embeddings, semantic search, Pinecone/Weaviate/Milvus, and RAG architectures.

Showing 1-6 of 40 questions

1 / 7
1QuestionsHard🔥 95% Asked

What is a vector database and how does it differ from traditional databases?

Asked in:GoogleAmazonMicrosoftFacebookApple

Question: What is a vector database and how does it differ from traditional databases?

Note: For more insights, checkout our Windows Apps.

2QuestionsHard🔥 92% Asked

Explain the concept of embeddings and why they are important.

Asked in:AmazonMicrosoftOracleIBMSAP

Question: Explain the concept of embeddings and why they are important.

3QuestionsHard🔥 90% Asked

What are the common use cases for vector databases?

Asked in:GoogleFacebookLinkedInTwitterSnapchat

Question: What are the common use cases for vector databases?

4QuestionsHard🔥 88% Asked

How do vector databases enable semantic search?

Asked in:AmazonMicrosoftGoogleAppleMeta

Question: How do vector databases enable semantic search?

5QuestionsHard🔥 85% Asked

What is the difference between exact search and approximate nearest neighbor (ANN) search?

Asked in:MicrosoftOracleSAPIBMCisco

Question: What is the difference between exact search and approximate nearest neighbor (ANN) search?

6QuestionsHard🔥 90% Asked

Explain the concept of similarity metrics (cosine, euclidean, dot product).

Asked in:GoogleAmazonMicrosoftFacebookLinkedIn

Question: Explain the concept of similarity metrics (cosine, euclidean, dot product).