Graph, vector and text retrieval for AI — over your existing Postgres
Polygres (by Evokoa) brings unified AI retrieval to your existing Postgres: one API covering graph, vector and text retrieval over the database you already run, instead of exporting data into a separate vector database and keeping two systems in sync. Positioning is blunt and correct — "making the world's data AI-native" by meeting the data where it already lives.
Retrieval quality for AI apps is increasingly a hybrid problem (exact graph facts + semantic vectors + keyword text), and running all three over one Postgres eliminates the sync-lag and dual-maintenance tax that dedicated vector stores impose.
Who it's for: teams with Postgres-based products adding AI features without adopting a second datastore, and engineers who've felt pgvector's limits and want graph traversal plus hybrid text ranking in the same query. Built by Evokoa (contact runs through the parent team email). The test: run your worst retrieval case — the query where pure-vector search returns plausible garbage — and check whether the graph+text combination pulls the right row.
What it is
Graph, vector and text retrieval for AI — over your existing Postgres
Pricing
Paid
Primary category
Developer Tools
Source code
Closed source / hosted
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