Design RAG Pipeline for Video Content

planningChallenge

Prompt Content

Design a LlamaIndex-based RAG pipeline to ingest and index video content metadata, transcripts, and scene descriptions. Consider strategies for chunking, embedding, and hybrid retrieval (vector and keyword search) to optimize for natural language scene queries. Explain how you will handle different types of queries (e.g., character names, quotes, descriptive actions).

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