Implement a Simple RAG Pipeline | Dataford Interview Questions

Write simple code for a RAG (retrieval-augmented generation) pipeline.

Asked in the L2 round stage. L2 for GenAI developer.

Implement rag_pipeline(documents, query, top_k). Tokenize text case-insensitively, retrieve documents by counting distinct query-token overlaps, preserve input order for ties, and return the selected documents joined with newline characters as a simple extractive answer. Return an empty string when no document matches.

Constraints

1 <= len(documents) <= 100
1 <= top_k <= len(documents)
Documents and query contain printable text
Matching is case-insensitive and punctuation is ignored

Function Signature

def rag_pipeline(documents, query, top_k):

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Problem

Write simple code for a RAG (retrieval-augmented generation) pipeline.

Asked in the L2 round stage. L2 for GenAI developer.

Constraints

1 <= len(documents) <= 100
1 <= top_k <= len(documents)
Documents and query contain printable text
Matching is case-insensitive and punctuation is ignored

Function Signature

def rag_pipeline(documents, query, top_k):

Your question is Implement a Simple RAG Pipeline. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.