Text Chunking with Overlap for RAG
Text Chunking with Overlap for RAG is a easy coding interview question covering nlp, strings, vector search — the kind asked at FAANG (Facebook/Meta, Apple, Amazon, Netflix, Google) and AI-first companies like Anthropic, OpenAI, and Nvidia.
Text Chunking with Overlap for RAG — Problem Statement
Implement the document chunking step of a RAG pipeline: split text into chunks of at most chunk_size words where consecutive chunks share overlap words. Handle the final partial chunk and reject invalid parameters (overlap >= chunk_size).
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- A written model answer
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