A meaning-search base over your video transcripts

The scenario collects your video transcripts and stores them in a base you can search by meaning instead of exact words. The foundation for smart search and answers over your videos.

  • Video transcripts become a searchable base
  • Search by meaning, not by exact words
  • New videos from the sheet are processed in turn
  • A ready foundation for smart search and answers
Pinecone Vector StoreEmbeddings OpenAIDefault Data Loader
Connect Qdrant Vector Store and launchScriptera

How it works

To connect moysklad and Qdrant Vector Store, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: When clicking ‘Test workflow’
  2. Then: Airtable2
  3. Then: Transcript Processor
  4. Then: Pinecone Vector Store
  5. Then: Airtable
  6. Check: Loop Over Items
  7. Then: Apify NinjaPost
  8. Then: Wait
  9. Then: Get JSON TS
  10. Then: JSON Stringifier
  11. Then: Edit Fields
  12. Then: Airtable1
  13. Then: Embeddings OpenAI
  14. Then: Default Data Loader
  15. Then: Recursive Character Text Splitter1

You can launch this moysklad + Qdrant Vector Store integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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