hybrid-search-pgvector

Hybrid semantic and keyword search for Postgres with pgvector.

Features

• Combines vector similarity and full-text search
• Uses Reciprocal Rank Fusion
• Supports metadata and tag filters
• Includes a simple upsert helper

Install

npm install hybrid-search-pgvector pg

Usage

import { createHybridSearch } from "hybrid-search-pgvector";

const search = createHybridSearch({
  pool,
  embedFn: (text) => embed(text),
  table: "documents",
});

const results = await search.search({
  query: "manufacturing automation roadmap",
  limit: 10,
});

Requirements

• PostgreSQL
• pgvector
• a table with text, vector, metadata, and timestamp fields

Best for AI memory stores, document search, and retrieval-augmented applications.