Find related meaning.
Search collection embeddings for relevant records. Use grouped retrieval to organize results around the entities your application needs.
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AI SEARCH / POWERED BY PGCONTEXT
Polygres AI Search uses AI Context collections to retrieve relevant information from your project. Start with semantic similarity, then compose text signals and graph relationships when the question needs more.
Embeddings place related records near one another. AI Context Search retrieves from that space and supports grouped results when your application needs distinct documents or entities.
The field illustrates neighborhoods in an embedding space. Explore a point to see a retrieval path through nearby candidates.
Read the AI Search documentation ↗Search collection embeddings for relevant records. Use grouped retrieval to organize results around the entities your application needs.
Combine semantic retrieval with text signals when a query includes a specific name, identifier, or phrase that should influence the result.
Use connected records to add context around retrieved candidates. Choose the documented composition that fits your data and query.
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