Social posts from books — distilled and published on a schedule

Drop a book into хранилище — the AI breaks it down, writes posts and stores them in таблица, and the scenario publishes them to Taiga on a schedule.

  • A book turns into post ideas
  • Ready text with a hook and a call to action
  • A queue of posts in таблица
  • Publishing to Taiga on a schedule
Google DrivePinecone Vector StoreEmbeddings OpenAIDefault Data LoaderGoogle Sheets
Connect Postgres PGVector Store and launchScriptera

How it works

To move data from Postgres PGVector Store to Taiga automatically, use a ready-made scenario — no manual exports.

  1. Starts when: Google Drive Trigger
  2. Then: DownLoadPdf
  3. Then: Extract from File
  4. Then: Pinecone Vector Store
  5. Then: Aggregate
  6. Then: LinkedIn Post Idea Generation
  7. Then: Split Out
  8. Then: GeneratePostContent
  9. Then: linkedInPostsContent
  10. Then: Embeddings OpenAI
  11. Then: Default Data Loader
  12. Then: Recursive Character Text Splitter
  13. Then: OpenAI Chat Model
  14. Then: Embeddings OpenAI1
  15. Then: Pinecorn Vector Store-book
  16. Then: Simple Memory
  17. Then: Structured Output Parser
  18. Starts when: Schedule Trigger
  19. Then: linkedInPostsContent1
  20. Then: Limit
  21. Then: LinkedIn
  22. Check: If
  23. If yes: linkedInPostsContent2

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

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