Intelligence · Component · catalog-vector-indexing
Product catalog and multimodal indexing
What it does
Import products and supplier relationships, batch-embed product images and persist model-tagged vectors with structured product attributes.
Core pattern
Catalog and image import + attributed vector indexes
- Input
- Product records, images and supplier offers
- Output
- SQLite catalog and normalized image vectors
Key parameters
| Name | Type | Default | Values |
|---|---|---|---|
| catalog | — | — | — |
| model_id | — | — | — |
| device | — | — | — |
| batch_size | integer | 20 | 1–1000 |
| image_directory | — | — | — |
Maturity and limits
Real ingestion/indexing scripts and model wrapper; README records a 207-item demo and Docker run. Static source inspection only; no runtime, provider, deployment or test-pass claim.
No root reuse license found; Open Food Facts data/images and SigLIP weights have separate terms; supplier prices and ownership flags are synthetic demo data.
Used in pipelines
Industry tags
- Retail & ecommerceSource-supported industry
For work involving products, customers and fulfillment, use catalog and image import followed by attributed vector indexes.
- Manufacturing & industryTransferable use
For unified lookup of spare-part catalogs and equipment records, use catalog and image import followed by attributed vector indexes.
Skills pack
Contract scaffold and deterministic mock
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