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pnpm add @anvia/core @anvia/pgvector pg pgvector

import { PgVectorStore } from '@anvia/pgvector'

const store = await PgVectorStore.connect({
  client: pool,
  tableName: 'support_docs',
  vectorSize: 1536,
  distance: 'cosine',
  createIfMissing: false,
})

await store.upsertDocuments(documents)
const index = store.index(embeddings)

The table and vector extension must exist when creation is disabled. connect() validates that the embedding column exists and has the configured dimension.

Without client, pass connectionString; the adapter otherwise creates a pg pool using standard environment behavior.

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