pinterest_pipeline
Search Pinterest images, download and analyze them with LLM vision, then store in a vector database for semantic retrieval by style or mood.
Instructions
Full visual intelligence pipeline: search → download → analyze → store. Note: on first run with ingest=True, ChromaDB will download an embedding model (~90 MB). Args: query: search query, e.g. 'minimal editorial white shirt studio' limit: max pins to search (default 15) max_download: max images to download and analyze (default 8) analyze: run LLM vision analysis (default True) ingest: store results in vector base (default True)
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| limit | No | ||
| max_download | No | ||
| analyze | No | ||
| ingest | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||