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RAG and Vector Databases Interview Questions (Page 2) | Buncho
Topic
RAG and Vector Databases interview questions
Retrieval pipelines, embeddings, and grounding.
All topics
565
Python for AI/ML
75
Machine Learning Fundamentals
10
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0
ML System Design
1
Deep Learning
5
Statistics and Mathematics
1
Generative AI and LLMs
122
Embeddings
13
RAG and Vector Databases
47
AI Agents and Tool Calling
50
MCP
0
Multimodal AI
29
LLM Evaluation and Testing
27
AI Safety, Ethics, and Responsible AI
36
AI System Design
41
Fine-Tuning
25
AI Infrastructure and Scalability
29
LLM Gateways
0
Production AI Engineering
39
AI Engineering Case Studies
15
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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
21.
Your RAG system fails on domain-specific jargon. How do you fix it?
RAG and Vector Databases · Debugging · 10 min
Asked %
Companies
RAG and Vector Databases
Debugging
10 min
Pro feature
Pro feature
Medium
Not started
22.
What are chunking strategies, and how do you choose the right chunk size?
RAG and Vector Databases · Conceptual · 10 min
Asked %
Companies
RAG and Vector Databases
Conceptual
10 min
Pro feature
Pro feature
Medium
Not started
23.
Your text-only RAG system now needs to handle images and tables. How do you extend it?
RAG and Vector Databases · Practical exercise · 12 min
Asked %
Companies
RAG and Vector Databases
Practical exercise
12 min
Pro feature
Pro feature
Hard
Not started
24.
Your enterprise RAG system returns contradictory answers from different source documents. How do you resolve conflicts?
RAG and Vector Databases · Debugging · 11 min
Asked %
Companies
RAG and Vector Databases
Debugging
11 min
Pro feature
Pro feature
Hard
Not started
25.
What is Contextual Retrieval, and how does it improve RAG?
RAG and Vector Databases · Conceptual · 10 min
Asked %
Companies
RAG and Vector Databases
Conceptual
10 min
Pro feature
Pro feature
Medium
Not started
26.
Compare RAG vs fine-tuning. When would you use each?
RAG and Vector Databases · Conceptual · 9 min
Asked %
Companies
RAG and Vector Databases
Conceptual
9 min
Pro feature
Pro feature
Medium
Not started
27.
Diagnose irrelevant retrieval results in a RAG pipeline
RAG and Vector Databases · Debugging · 20 min
Asked %
Companies
RAG and Vector Databases
Debugging
20 min
Pro feature
Pro feature
Medium
Not started
28.
How do you optimise RAG for latency in production?
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
29.
Your semantic search fails for short queries. How do you improve it?
RAG and Vector Databases · Debugging · 10 min
Asked %
Companies
RAG and Vector Databases
Debugging
10 min
Pro feature
Pro feature
Medium
Not started
30.
How do you scale a RAG system to millions of documents, and keep retrieval fast on a large knowledge base?
RAG and Vector Databases · Practical exercise · 12 min
Asked %
Companies
RAG and Vector Databases
Practical exercise
12 min
Pro feature
Pro feature
Hard
Not started
31.
Explain the architecture of a basic RAG system and the key components of a RAG pipeline
RAG and Vector Databases · Conceptual · 10 min
Asked %
Companies
RAG and Vector Databases
Conceptual
10 min
Pro feature
Pro feature
Easy
Not started
32.
How do you handle multi-document and multi-hop questions in RAG?
RAG and Vector Databases · Practical exercise · 12 min
Asked %
Companies
RAG and Vector Databases
Practical exercise
12 min
Pro feature
Pro feature
Hard
Not started
33.
What is a vector database, and how does it differ from a traditional database?
RAG and Vector Databases · Conceptual · 9 min
Asked %
Companies
RAG and Vector Databases
Conceptual
9 min
Pro feature
Pro feature
Easy
Not started
34.
What is Agentic RAG?
RAG and Vector Databases · Conceptual · 10 min
Asked %
Companies
RAG and Vector Databases
Conceptual
10 min
Pro feature
Pro feature
Hard
Not started
35.
What is hybrid search, and why is it better than pure vector search?
RAG and Vector Databases · Conceptual · 9 min
Asked %
Companies
RAG and Vector Databases
Conceptual
9 min
Pro feature
Pro feature
Medium
Not started
36.
How do you implement citation and source attribution in RAG?
RAG and Vector Databases · Practical exercise · 10 min
Asked %
Companies
RAG and Vector Databases
Practical exercise
10 min
Pro feature
Pro feature
Medium
Not started
37.
Your RAG system returns duplicate results. How do you deduplicate?
RAG and Vector Databases · Debugging · 10 min
Asked %
Companies
RAG and Vector Databases
Debugging
10 min
Pro feature
Pro feature
Medium
Not started
38.
Implement a basic RAG pipeline using an embedding model and a vector database
RAG and Vector Databases · Practical exercise · 20 min
Asked %
Companies
RAG and Vector Databases
Practical exercise
20 min
Pro feature
Pro feature
Medium
Not started
39.
Implement a simple re-ranker for search results
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
40.
Write code for different text chunking strategies (fixed-size, recursive, semantic)
RAG and Vector Databases · Practical exercise · 18 min
Asked %
Companies
RAG and Vector Databases
Practical exercise
18 min
Pro feature
Pro feature
Medium
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