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RAG & Knowledge Bases

RAG System with Automatic Source Citations Using Qdrant

When you run it or a chat message arrives, this loads Google Drive documents into Qdrant and answers questions with OpenAI or Gemini while citing the sources.

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What it does

## Complete RAG System with Automatic Source Citations Using Qdrant This workflow implements a Retrieval-Augmented Generation (RAG) system that: * Stores vectorized documents in Qdrant, * Retrieves relevant content based on user input, * Generates AI answers using Google Gemini, * Automatically cites the document sources (from Google Drive).

The steps

  1. When clicking ‘Test workflow’
  2. Embeddings OpenAI1
  3. Default Data Loader1
  4. Qdrant Vector Store
  5. Create collection
  6. Recursive Character Text Splitter
  7. Loop Over Items
  8. Wait
  9. When chat message received
  10. Question and Answer Chain
  11. Google Gemini Chat Model
  12. Vector Store Retriever
  13. Qdrant Vector Store1
  14. Embeddings OpenAI

24 steps in total.

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