Model the constraints
Keep products, specifications, and verified compatibility relationships in Postgres. Preserve the source of each compatibility assertion so your application can distinguish tested matches from incomplete data.
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COMPATIBILITY-AWARE DISCOVERY
Combine intent with product relationships and exact specifications to find compatible alternatives.
A similar product is not necessarily a compatible one. A replacement part may need the right connector, voltage, dimensions, or version relationship. Product discovery becomes more useful when meaning and compatibility can be evaluated together.
A request for a quieter replacement can retrieve candidates by description, then inspect their recorded connector and specification relationships. Your application decides which requirements are mandatory.
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.
Keep products, specifications, and verified compatibility relationships in Postgres. Preserve the source of each compatibility assertion so your application can distinguish tested matches from incomplete data.
Use AI Context Search to retrieve products related to the requested intent. Combine supported filters and graph relationships with your application’s explicit compatibility rules.
Display which requirements a candidate satisfies and link to the specifications. Treat missing compatibility data as unknown rather than implying that semantic similarity proves a match.
LET’S BUILD
Start with your Postgres. Explore what Polygres can do.