Loading files into a database for meaning-based search

The scenario takes files from a server and loads them into a database so you can search the content by meaning, not by filename.

  • Files from the server land in a search database
  • Search by meaning, not by filename
  • Processed in batches
  • Nothing to write by hand
Qdrant Vector StoreEmbeddings OpenAIDefault Data Loader
Connect Postgres PGVector Store and launchScriptera

How it works

To connect Postgres PGVector Store and Databricks, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: When clicking ‘Test workflow’
  2. Then: List all the files
  3. Check: Loop over one item
  4. Then: Downloading item
  5. Then: Qdrant Vector Store
  6. Then: Embeddings OpenAI
  7. Then: Default Data Loader
  8. Then: Character Text Splitter

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

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