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RAG & Knowledge Bases

Answer Stock Questions from Documents with OpenAI and Qdrant

When a chat message or webhook request arrives, a retrieval chain searches stock documents from Google Drive in Qdrant and OpenAI answers.

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What it does

## Step 2: Setup the Q&A ### The incoming message from the webhook is queried from the Supabase Vector Store. The response is provided in the response webhook.

The steps

  1. Embeddings OpenAI1
  2. On new manual Chat Message
  3. Retrieval QA Chain
  4. Respond to Webhook
  5. Vector Store Retriever
  6. Webhook1
  7. When clicking "Execute Workflow"
  8. Google Drive
  9. Binary to Document
  10. Recursive Character Text Splitter
  11. Embeddings OpenAI
  12. Qdrant Vector Store
  13. Qdrant Vector Store1
  14. OpenAI Chat Model

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