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RAG and Vector Databases Interview Questions | Buncho
Topic
RAG and Vector Databases interview questions
Retrieval pipelines, embeddings, and grounding.
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565
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75
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10
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0
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1
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5
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1
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122
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13
RAG and Vector Databases
47
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50
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0
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29
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27
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36
AI System Design
41
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25
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29
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0
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See how often each question is asked, and which companies asked it.
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Title
Topic
Type
Time
Asked
Companies
Level
Not started
1.
How do you evaluate a RAG system? Explain faithfulness, relevance, and context precision/recall
RAG and Vector Databases · Conceptual · 12 min
Asked %
Companies
RAG and Vector Databases
Conceptual
12 min
Pro feature
Pro feature
Medium
Not started
2.
Your vector database for RAG is consuming too much memory. How do you reduce it?
RAG and Vector Databases · Debugging · 10 min
Asked %
Companies
RAG and Vector Databases
Debugging
10 min
Pro feature
Pro feature
Medium
Not started
3.
Your RAG system struggles with PDFs containing tables and complex layouts. How do you fix PDF parsing?
RAG and Vector Databases · Debugging · 11 min
Asked %
Companies
RAG and Vector Databases
Debugging
11 min
Pro feature
Pro feature
Medium
Not started
4.
What are the common failure modes of RAG systems, and how do you debug them?
RAG and Vector Databases · Debugging · 12 min
Asked %
Companies
RAG and Vector Databases
Debugging
12 min
Pro feature
Pro feature
Medium
Not started
5.
How does Approximate Nearest Neighbor (ANN) search work, and how do you handle billions of vectors?
RAG and Vector Databases · Conceptual · 12 min
Asked %
Companies
RAG and Vector Databases
Conceptual
12 min
Pro feature
Pro feature
Hard
Not started
6.
What is query transformation in RAG (HyDE, query decomposition, step-back prompting)?
RAG and Vector Databases · Conceptual · 10 min
Asked %
Companies
RAG and Vector Databases
Conceptual
10 min
Pro feature
Pro feature
Medium
Not started
7.
What is parent-child chunking, and how does it improve retrieval?
RAG and Vector Databases · Conceptual · 9 min
Asked %
Companies
RAG and Vector Databases
Conceptual
9 min
Pro feature
Pro feature
Medium
Not started
8.
Compare cosine similarity, dot product and Euclidean distance for vector search. Which should you use?
RAG and Vector Databases · Conceptual · 9 min
Asked %
Companies
RAG and Vector Databases
Conceptual
9 min
Pro feature
Pro feature
Medium
Not started
9.
What is ColBERT, and how does late interaction retrieval work?
RAG and Vector Databases · Conceptual · 10 min
Asked %
Companies
RAG and Vector Databases
Conceptual
10 min
Pro feature
Pro feature
Hard
Not started
10.
What is Vectorless RAG?
RAG and Vector Databases · Conceptual · 9 min
Asked %
Companies
RAG and Vector Databases
Conceptual
9 min
Pro feature
Pro feature
Medium
Not started
11.
Compare fixed-size, semantic and recursive chunking
RAG and Vector Databases · Conceptual · 9 min
Asked %
Companies
RAG and Vector Databases
Conceptual
9 min
Pro feature
Pro feature
Medium
Not started
12.
Compare reranker architectures: cross-encoder, ColBERT and LLM-based rerankers
RAG and Vector Databases · Conceptual · 10 min
Asked %
Companies
RAG and Vector Databases
Conceptual
10 min
Pro feature
Pro feature
Hard
Not started
13.
Explain Self-RAG. How does the model decide when to retrieve?
RAG and Vector Databases · Conceptual · 10 min
Asked %
Companies
RAG and Vector Databases
Conceptual
10 min
Pro feature
Pro feature
Hard
Not started
14.
How would you reduce hallucinations in a RAG application?
RAG and Vector Databases · Practical exercise · 15 min
Asked %
Companies
RAG and Vector Databases
Practical exercise
15 min
Pro feature
Pro feature
Medium
Not started
15.
How do you handle document updates and keep a RAG system fresh and current?
RAG and Vector Databases · Practical exercise · 11 min
Asked %
Companies
RAG and Vector Databases
Practical exercise
11 min
Pro feature
Pro feature
Medium
Not started
16.
What is re-ranking, and how does it improve RAG retrieval quality?
RAG and Vector Databases · Conceptual · 9 min
Asked %
Companies
RAG and Vector Databases
Conceptual
9 min
Pro feature
Pro feature
Medium
Not started
17.
Your RAG knowledge base is updated frequently and needs versioning. How do you manage it?
RAG and Vector Databases · Practical exercise · 11 min
Asked %
Companies
RAG and Vector Databases
Practical exercise
11 min
Pro feature
Pro feature
Hard
Not started
18.
Your RAG chunk overlap causes redundant results. How do you reduce redundancy?
RAG and Vector Databases · Debugging · 9 min
Asked %
Companies
RAG and Vector Databases
Debugging
9 min
Pro feature
Pro feature
Medium
Not started
19.
Build a basic document parser that extracts text from PDFs and splits it into chunks
RAG and Vector Databases · Practical exercise · 18 min
Asked %
Companies
RAG and Vector Databases
Practical exercise
18 min
Pro feature
Pro feature
Medium
Not started
20.
What is GraphRAG, and when would you use it over traditional RAG?
RAG and Vector Databases · Conceptual · 11 min
Asked %
Companies
RAG and Vector Databases
Conceptual
11 min
Pro feature
Pro feature
Hard
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