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Library / RAG & Knowledge Bases

RAG & Knowledge Bases

Summarize YouTube Playlists and Chat with Gemini and Qdrant

When you run it, the workflow summarizes YouTube video transcripts with Google Gemini, stores them in Qdrant and answers user questions from them, caching in Redis.

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What it does

## RAG & Reply to User Query - Retrieves and provides answers to user queries combining retrieval-augmented generation. - Processes messages without specific routing rules.

The steps

  1. Manual Trigger
  2. Google Gemini Chat Model1
  3. Handle Queries
  4. Split Out
  5. Summarize & Analyze Transcript
  6. Concatenate
  7. Split Out1
  8. Limit
  9. Qdrant Vector Store
  10. Recursive Character Text Splitter
  11. Embeddings Google Gemini
  12. Google Gemini Chat Model2
  13. Embeddings Google Gemini1
  14. Chat

100 steps in total.

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