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pgvector-semantic-search

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Find related text by meaning in PostgreSQL.

What it does

Guides the implementation and tuning of vector search in PostgreSQL using pgvector.

When to use it

Use when implementing vector storage, semantic search, vector indexes, or PostgreSQL-based RAG, or when tuning pgvector performance.

How to use it

It changes how the agent implements vector storage, indexes, and search queries in a PostgreSQL project.

What you provide

  • An existing project

Uses

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What you need · 2

Requires PostgreSQL 15 or later with the pgvector extension.

Requires pgvector 0.8.0 or later to use all covered features, including halfvec, binary quantization, and iterative scans.


Access · 0

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