Design a RAG Pipeline for Financial Knowledge

Last updated: October 30, 2025

Quick Overview

Design a Retrieval-Augmented Generation pipeline that provides accurate, up-to-date financial and tax knowledge to power Intuit's AI features across TurboTax and QuickBooks.

Intuit
System Design
Software Engineer
Intuit
October 30, 2025
Software Engineer
Onsite - AI/GenAI Round
System Design
Hard

13

11

2,967 solved


Design a Retrieval-Augmented Generation pipeline that provides accurate, up-to-date financial and tax knowledge to power Intuit's AI features across TurboTax and QuickBooks.

Core to Intuit's GenOS platform and Intuit Assist. Tests deep understanding of RAG architecture, embedding strategies, and the unique challenges of financial knowledge retrieval.

What the Interviewer Expects
  • Design an end-to-end RAG pipeline with document ingestion, chunking, embedding, retrieval, and generation
  • Handle knowledge updates when tax laws change annually without full re-indexing
  • Implement hybrid search combining semantic and keyword retrieval for financial terms
  • Design evaluation metrics specific to financial accuracy and citation correctness
  • Address latency requirements for real-time conversational use
Key Topics to Cover
RAG Pipeline
Vector Search
Document Chunking
Financial Knowledge
LLM Evaluation
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • How do you handle conflicting information between federal and state tax rules?
  • What chunking strategy works best for IRS publications with complex cross-references?
  • How do you evaluate whether the RAG pipeline is improving over time?
  • How would you handle a query that requires reasoning across multiple retrieved documents?
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Sample Answer
Requirements
  • Functional Requirements:
    • Ingest financial and tax documents from various sources (IRS publications, tax forms, articles).
    • Chunk documents into manageable segments for embedding and retri...
Capacity Estimation
  • User Base: Assume 10 million users across TurboTax and QuickBooks.

    • Queries: Each user makes an average of 3 queries per session and uses the service 5 times a month.
  • **Monthly Queries...


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