@agentprodready/vector-store-pgvector
v1.0.1
Published
**pgvector adapter** for `@agentprodready/vector-store` — durable semantic index for AgentProdReady Memory.
Readme
@agentprodready/vector-store-pgvector
pgvector adapter for @agentprodready/vector-store — durable semantic index for AgentProdReady Memory.
| | |
|---|---|
| Status | Production provider published (1.0.x) |
| Install | npm install @agentprodready/vector-store-pgvector |
| Module | ESM · Node.js >=22 <25 |
| License | MIT |
When to use
You need Postgres + pgvector behind Memory semantic/hybrid search. Skip this for Simple ephemeral memory: true.
Install
npm install @agentprodready/vector-store @agentprodready/vector-store-pgvectorRequires DATABASE_URL (same shape as @agentprodready/persistence-postgres).
Sample
import { PgvectorVectorStore } from '@agentprodready/vector-store-pgvector';
const store = new PgvectorVectorStore({
config,
dimensions: 32,
embeddingModelId: 'reference-embedding-32',
});
await store.assertReady();VECTOR_INDEX_PROFILE=reference-32 pnpm db:migrate:vector
VECTOR_INDEX_PROFILE=reference-32 pnpm db:status:vector| VECTOR_INDEX_PROFILE | Dimensions | Embedding model id |
|---|---|---|
| reference-32 | 32 | reference-embedding-32 |
| openai-1536-small | 1536 | text-embedding-3-small |
assertReady fails closed unless the migrated schema contract matches dimensions / model / metric.
Ownership
| Owns | Does not own |
|---|---|
| Derived memory_vector_index schema, HNSW cosine index, PgvectorVectorStore | Memory authorization; Persistence generic repos; embeddings |
Docs
License
MIT © 2026 ameenmari
