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# PGVector

This page covers how to use the Postgres PGVector ecosystem within LangChain It is broken into two parts: installation and setup, and then references to specific PGVector wrappers.

## Installation

- Install the Python package with `pip install pgvector`

## Setup

1. The first step is to create a database with the `pgvector` extension installed.

   Follow the steps at PGVector Installation Steps to install the database and the extension. The docker image is the easiest way to get started.

## Wrappers

### VectorStore

There exists a wrapper around Postgres vector databases, allowing you to use it as a vectorstore, whether for semantic search or example selection.

To import this vectorstore:

    from langchain.vectorstores.pgvector import PGVector

### Usage

For a more detailed walkthrough of the PGVector Wrapper, see this notebook