#rag

20 rag interview questions, asked at Databricks, Apple, Cohere and 14 more companies. Last asked Oct 2026.

Design an enterprise research agent with internal and web sources and citationsAI system designAn employee asks a hard research question. Design the assistant that answers it by searching both the company's own systems (documents, wikis, a CRM such as Salesforce) and the…
Last asked Oct 2026
RAG notebook with retrieval and evaluationCodingIn a notebook with helpers provided, fill in a small retrieval pipeline: embed texts from a data frame, retrieve top matches by cosine similarity, and run a short evaluation…
Last asked Sep 2026
+1
ML design for retrieval: embeddings, hybrid search and rankingML designDesign the machine learning behind the retrieval stage of a question-answering system. Discuss how you train the embedding model, how retrieval combines dense and keyword search…
Last asked Sep 2026
Retrieve tables and notebooks for a data-aware coding agentAI system designAn internal coding agent helps employees write code and answer questions. When someone asks a data question, such as how a metric changed over some period, the agent first has to…
Last asked Sep 2026
Design retrieval for a coding agent over a code baseAI system designA coding agent is an LLM assistant that works inside a software code base: it reads code, answers questions about it and makes edits. It depends on retrieval to put the right code…
Last asked Sep 2026
Turn company policies into step-by-step support instructionsAI system designDesign a retrieval-augmented system for customer support staff: given a user's issue, it reads the company's policies and produces step-by-step instructions the agent can follow…
Last asked Sep 2026
LLM application engineering: RAG, context limits, state and prompt injectionML designQuick conceptual questions for an applied AI engineer, each answered in a couple of minutes from real experience: 1. When would you use retrieval-augmented generation and when…
Last asked Sep 2026
Design a RAG question-answering agent over a firm's documentsAI system designDesign a system that answers questions from a large, private collection of documents (for example a law firm's memos) with retrieval-augmented generation, citing the passages it…
Last asked Sep 2026
Build a RAG agent on the Mistral API, then defend its designAI system designWrite a small Python tool that answers questions over a local folder of Markdown and PDF files with retrieval-augmented generation: ingest and chunk the files, embed and index the…
Last asked Jul 2026
Manage the context window in an applied LLM systemAI system designAn applied AI product keeps hitting the model's context limit. How do you decide what goes into the context on each call? Discuss retrieval, trimming and summarizing history…
Last asked Jun 2026
Design an LLM chat over SEC filingsAI system designDesign a chat assistant that answers analysts' questions from SEC filings. Cover ingesting and parsing the filings, chunking and indexing long documents with tables, retrieval…
Last asked Jun 2026
+5
Design a RAG system over company docsAI system designEmployees should be able to ask questions about internal documents (Drive, Confluence, Slack, GitHub) and get grounded answers with citations.
Last asked Mar 2026
Design a RAG assistant with agentic toolsAI system designDesign an assistant that answers questions with retrieval-augmented generation and can call tools to act or fetch more information. Cover indexing, retrieval and re-ranking, when…
Last asked Feb 2026
Design a chatbot over structured and unstructured company dataAI system designDesign an assistant that answers employees' questions from two kinds of sources: tables in databases and documents. Cover how a question is routed (query generation for tables…
Last asked Feb 2026
Design a grounded voice assistantAI system designDesign a voice assistant whose answers are grounded in trusted sources rather than made up. Cover speech recognition, understanding the request, retrieving the right information…
Last asked Jan 2026
Design a multimodal RAG assistantAI system designDesign an assistant that answers questions using retrieval over inputs of several kinds (text documents, images, tables or diagrams). Cover ingesting and embedding each kind, the…
Last asked Dec 2025
Design a RAG system end to endAI system designDesign a retrieval-augmented generation system from documents to answers: ingesting and chunking documents, embeddings and the index, retrieval and reranking, the prompt to the…
Last asked Sep 2025
Design a retrieval-augmented generation systemAI system designDesign a RAG system: users ask questions and an LLM answers using documents retrieved from your corpus. Cover ingestion and chunking, embeddings and the index, retrieval and…
Last asked Aug 2025
Design an answer engine with citationsAI system designDesign an answer engine: a user asks a question in plain language and gets a direct, current answer written by a model, with numbered citations to the web pages it used, streaming…
Agentic RAG take-home projectCodingA take-home: build an agentic retrieval-augmented pipeline. A model with a search tool must answer questions over a document set, including questions that need more than one…