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DeepHub IMBA
DeepHub IMBA
May 31, 2026 · Artificial Intelligence

Chunking Strategies for Video RAG: Pause‑Based, Sliding‑Window, and LLM‑Driven Methods

The article examines how to chunk transcribed video text for Retrieval‑Augmented Generation, comparing pause‑based, overlapping‑window, length‑based fallback, and LLM‑driven topic chunking methods, and shows how combining fine‑grained and thematic chunks yields a multi‑layered pipeline that improves context coverage for both precise and broad queries.

LLMRAGRetrieval-Augmented Generation
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Chunking Strategies for Video RAG: Pause‑Based, Sliding‑Window, and LLM‑Driven Methods