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RAG & Knowledge Bases

Extract API Schemas from Documentation with Gemini and Qdrant

When run manually or called by another workflow, API documentation is searched, scraped and chunked, and Gemini extracts API operations stored in Qdrant and Sheets.

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What it does

## Stage 2 - Extract API Operations From Documentation - Fetch a list of services pending extraction from Database (Google Sheet) - Query Vector store (Qdrant) to figure out service's products, solutions and offerings - Query Vector store (Qdrant) again for API documentation relevant to these products, solutions and offerings - Extract any API operations found in the API documentation results using LLM (Gemini) - Store extracted API operations into Database (Google Sheet)

The steps

  1. When clicking ‘Test workflow’
  2. Web Search For API Schema
  3. Scrape Webpage Contents
  4. Results to List
  5. Recursive Character Text Splitter1
  6. Content Chunking @ 50k Chars
  7. Split Out Chunks
  8. Default Data Loader
  9. Set Embedding Variables
  10. Execute Workflow Trigger
  11. Execution Data
  12. EventRouter
  13. Google Gemini Chat Model
  14. Successful Runs

82 steps in total.

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