Design RAG Pipeline for Video Content

planningChallengeDecember 3, 2025

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).

Related Prompts

Explore similar prompts from our community

Implement Langroid Agent with MCP Tools

implementation

Craft Gemini 2.5 Pro Prompts for Query Understanding

implementation

Test Plan and Edge Cases for Scene Skipping

testing

Usage Tips

Copy the prompt and paste it into your preferred AI tool (Claude, ChatGPT, Gemini)

Customize placeholder values with your specific requirements and context

For best results, provide clear examples and test different variations