Prepare your catalog
Store products and attributes in Postgres and create an AI Context collection over the information you want to search.
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PRODUCT DISCOVERY
Help people find relevant products even when their words don’t match your catalog.
Catalogs contain descriptions, attributes, categories, and relationships. Semantic retrieval helps connect a shopper’s intent to the available records, while your application retains control over inventory and business rules.
A search for something suitable for a small desk can find products described in terms of dimensions and compact design.
Explore the retrieval tools ↗Compatibility
Compare the candidates against the recorded interface.
The recorded 4-pin connector and 12 V specification match. The application can now evaluate the remaining product requirements.
Store products and attributes in Postgres and create an AI Context collection over the information you want to search.
Retrieve semantically related candidates. Combine exact terms and supported filters for the identifiers and constraints that matter to your query.
Use current inventory, visibility, and application logic to decide which results to display. Keep stable product identifiers in every returned result.
LET’S BUILD
Start with your Postgres. Explore what Polygres can do.