Advanced~3h
Agentic RAG in RAG & Retrieval SystemsInterview Readiness Check
Iterative retrieval inside an agent loop, tool-calling into vector and structured databases, deciding when to retrieve vs when the model already knows, orchestration patterns for complex multi-step research..
agentic RAGReActtool callingiterative retrievalself-RAGCRAGcorrective RAGagent loop
Learning path
Advanced Retrieval Patterns→Agentic RAG ← you are here→GraphRAG & Knowledge-Graph RetrievalStructured Data & Text-to-SQL RAG
Try a sample question
A user asks: 'Who was the CEO of OpenAI during the board conflict, and what was the board's stated reason for his removal?' Your RAG system retrieves a chunk mentioning Sam Altman's removal but it contains no details about the board's stated reason. What should an agentic RAG system do next?
A.Increase the temperature of the LLM to encourage it to infer the missing details
B.Generate an answer using only the first retrieved chunk and acknowledge the missing detail
C.Return an empty response and ask the user to rephrase the question
D.Issue a second retrieval query specifically targeting the board's stated reasoning, then synthesize both chunks before generating a response
Sign up free to take the full check and see the answer with an explanation.
What this module tests
- Conceptual understanding of agentic rag fundamentals
- Trade-offs and design decisions in real system scenarios
- agentic RAG and ReAct — applied knowledge
- Interview-style reasoning and explanation quality
Free to start
Take the Agentic RAG check →
10 questions · Dimension scoring · AI coach feedback · Shareable result
Test your knowledge — free →No credit card · Takes 10–15 min
Frequently asked questions
- What does the Agentic RAG check test?
- The check covers iterative retrieval inside an agent loop, tool-calling into vector and structured databases, deciding when to retrieve vs when the model already knows, orchestration patterns for complex multi-step research.. Questions span beginner to advanced difficulty and test both conceptual understanding and practical trade-off reasoning.
- What keywords should I know for Agentic RAG?
- Key concepts include: agentic RAG, ReAct, tool calling, iterative retrieval, self-RAG, CRAG, corrective RAG, agent loop. These frequently appear in rag & retrieval systems interviews at product and infrastructure companies.
- How many questions are in the check?
- Each check has 10 questions — a mix of MCQ and short-answer. You get scored by dimension (e.g., scalability, consistency) so you know exactly where to focus.
- How long does it take to study Agentic RAG?
- Most engineers spend around 3 hours on this module. The check itself takes about 10–15 minutes. You can retake it up to 3 times per day.
- What prerequisite knowledge do I need before Agentic RAG?
- Agentic RAG builds on Advanced Retrieval Patterns. Complete those first for the best results.
- Is agentic RAG, ReAct, tool calling covered?
- Yes. The Agentic RAG module covers agentic RAG, ReAct, tool calling among other key concepts. The check includes questions that reflect real rag & retrieval systems interview patterns.