https://vchord.pgsty.com/docs/vectors/getting-started/ Recent content in Getting Started on Vchord Hugo en-US Tue, 03 Nov 2026 01:15:06 +0800 https://vchord.pgsty.com/docs/vectors/getting-started/overview/ Mon, 01 Jan 0001 00:00:00 +0000 https://vchord.pgsty.com/docs/vectors/getting-started/overview/ <div class="td-callout td-callout--warning" role="note"> <div class="td-callout__title"><i class="td-callout__icon fa-solid fa-triangle-exclamation" aria-hidden="true"></i><span class="td-callout__label">Warning</span></div> <div class="td-callout__body"> <p>We strongly suggest you explore our new <a href="https://github.com/pgsty/vchord">VectorChord</a> implementation, offering enhanced stability and performance. Users are advised to transition to VectorChord. Refer to the <a href="https://vchord.pgsty.com/docs/vchord/admin/migration/">migration guide</a> for assistance.</p> </div> </div><p>An introduction to the <code>pgvecto.rs</code>.</p> <p><a id="what-is-pgvecto-rs"></a></p> <h2 id="what-is-pgvectors">What is <code>pgvecto.rs</code> </h2> <p><code>pgvecto.rs</code> is a Postgres extension that provides vector similarity search functions. It is written in Rust and based on <a href="https://github.com/tcdi/pgrx">pgrx</a>. It is currently in the beta status, we invite you to try it out in production and provide us with feedback. Read more at <a href="https://vchord.pgsty.com/blog/release/pgvectors-02-unifying-relational-queries-and-vector-search-in-postgresql/">📝our launch blog</a>.</p> https://vchord.pgsty.com/docs/vectors/getting-started/installation/ Mon, 01 Jan 0001 00:00:00 +0000 https://vchord.pgsty.com/docs/vectors/getting-started/installation/ <div class="td-callout td-callout--warning" role="note"> <div class="td-callout__title"><i class="td-callout__icon fa-solid fa-triangle-exclamation" aria-hidden="true"></i><span class="td-callout__label">Warning</span></div> <div class="td-callout__body"> <p>We strongly encourage you to explore our new <a href="https://github.com/pgsty/vchord">VectorChord</a> implementation, which offers improved stability and performance. Users are encouraged to migrate to VectorChord. See the <a href="https://vchord.pgsty.com/docs/vchord/admin/migration/">migration guide</a> for assistance.</p> </div> </div><p>There are four ways to install <code>pgvecto.rs</code>.</p> <p><a id="Docker"></a></p> <h2 id="docker">Docker </h2> <p><a href="https://hub.docker.com/r/tensorchord/pgvecto-rs"><img src="https://img.shields.io/docker/pulls/tensorchord/pgvecto-rs" /></a></p> <p>The easiest way to try <code>pgvecto.rs</code> is to run it from a ready-to use <a href="https://hub.docker.com/r/tensorchord/pgvecto-rs">Docker image</a>.</p> <div class="td-code td-code--untitled" id="td-code-89b0c7e7-fence-0" data-td-code data-td-code-auto-id data-td-language="sh" data-td-line-count="5"> <div class="td-code__viewport" id="td-code-89b0c7e7-fence-0-viewport" data-td-code-viewport><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-sh" data-lang="sh"><span class="line"><span class="cl">docker run <span class="se">\ </span></span></span><span class="line"><span class="cl"> --name pgvecto-rs-demo <span class="se">\ </span></span></span><span class="line"><span class="cl"> -e <span class="nv">POSTGRES_PASSWORD</span><span class="o">=</span>mysecretpassword <span class="se">\ </span></span></span><span class="line"><span class="cl"> -p 5432:5432 <span class="se">\ </span></span></span><span class="line"><span class="cl"> -d tensorchord/pgvecto-rs:pg16-v0.2.0</span></span></code></pre></div></div> </div> <p>Then you can connect to the database using the <code>psql</code> command line tool. The default username is <code>postgres</code>, and the default password is <code>mysecretpassword</code>.</p>