pgvector Hosting Live In 5 Minutes

Deploy pgvector hosting and get a PostgreSQL 17 database that is ready to store embeddings. xCloud starts the pinned pgvector 0.8.6 image, generates the database name, username and password, and switches on the vector extension for you. You get a connection string, not a web page, so you connect with psql or your application's PostgreSQL driver.

Deploy your pgvector

Vector extension already enabled
Credentials generated for you
No lock-in, cancel anytime

What is pgvector?

pgvector is an open-source extension that adds vector similarity search to PostgreSQL. You store embeddings in a table next to the rest of your data and ask for the rows nearest to a query vector. It supports exact and approximate nearest neighbor search, and it works from any language that has a PostgreSQL client. Run on your own server, it is a self-hosted vector database and an alternative to a hosted vector service, released under the PostgreSQL License.

On xCloud it is pgvector 0.8.6 on PostgreSQL 17, from an image pinned to a reviewed release. xCloud generates the database name, username and password, and enables the extension in that database. There is no web page and no domain. You connect to your server's IP on an assigned port, and your data lives on the pgvector_data volume.

About this app

Version xCloud installs: 0.8.6
Source code: github.com/pgvector/pgvector

pgvector is a third-party project. xCloud is not affiliated with or endorsed by its maintainers. Names and logos belong to their owners.

From Sign-Up to a Live pgvector Database In Just 3 Easy Steps

Running pgvector by hand means picking a PostgreSQL version that matches the extension, creating a role and a database, and enabling the extension before your first query. Here that is already done.

Step 01
Sign Up And Pick A Server
Create your xCloud account and pick pgvector from the OneClick catalog. Choose the server it should run on. There is no domain to set and no extra field to fill in.
Step 02
We Deploy pgvector
One click. xCloud starts pgvector 0.8.6 on PostgreSQL 17, generates the database name, username and password, assigns the connection port and stores your data on the pgvector_data volume. Then it enables the vector extension in your new database.
Step 03
Connect And Run A First Query
Copy the PostgreSQL URI from the app's credentials and connect with psql or your application. Create a table with a vector column, insert a few rows and order them by distance to a query vector. Limit the port to the client IPs you trust before real data goes in.

Everything pgvector Does, On Your Own Server

The full extension runs here, inside a PostgreSQL 17 server whose data stays on a server you own.

Exact And Approximate Search
Without an index, a query returns the exact nearest neighbors. Add an index when you want faster answers and can accept approximate results.
HNSW And IVFFlat Indexes
HNSW gives better query performance but builds more slowly and uses more memory. IVFFlat builds faster and uses less memory, with lower query performance.
Six Distance Measures
Rank rows by L2 distance, inner product, cosine distance or L1 distance, and compare binary vectors by Hamming or Jaccard distance.
Four Vector Types
Store single-precision, half-precision, binary and sparse vectors. Half-precision vectors take about half the storage of single-precision ones.
Embeddings Beside Your Data
Vectors sit in ordinary PostgreSQL tables, so one SQL query can join them to your other columns, inside the same ACID transactions.
Filtering And Hybrid Search
Combine a similarity search with WHERE conditions, and pair it with PostgreSQL full-text search for hybrid results. Iterative index scans help filtered queries return enough rows.

Everything You Need To Run Your Vector Database

What xCloud sets up for this app, so your first job is a query and not an install.

pgvector 0.8.6 on PostgreSQL 17
Image pinned to a reviewed release
Database, user and password generated
Vector extension enabled at install
Connection string ready to copy
Data kept on a persistent volume
Server security updates included
Choose your server region
Unused balance refunded

What You Can Do With pgvector

Retrieval for a RAG application
Store document chunks and their embeddings in one table, then fetch the closest chunks for each question your application sends to a language model.
Semantic search over your own content
Find articles, tickets or products by meaning instead of exact keywords, and combine it with PostgreSQL full-text search when you want both.
Recommendations from similar items
Keep an embedding per product or user and list the nearest ones, filtered by the ordinary columns that sit in the same row.
Spotting near-duplicates
Compare a new record against stored embeddings and flag the ones that sit within a distance you choose.

pgvector vs Alternatives

Pinecone: A hosted vector database service. As a self-hosted alternative, pgvector keeps embeddings in a PostgreSQL database on your own server and queries them with SQL.
Qdrant: Qdrant has its own OneClick page. It is a separate vector database and similarity search engine built in Rust, while pgvector adds vector search to PostgreSQL tables you can join.
Weaviate: Weaviate has its own OneClick page. It is a standalone vector database with REST and GraphQL APIs. pgvector is queried with SQL through any PostgreSQL client.
Chroma: Chroma has its own OneClick page. It is a dedicated vector database for AI applications. Choose pgvector when your embeddings belong beside relational data.
Milvus: Milvus has its own OneClick page, deployed in standalone mode. pgvector runs as one PostgreSQL service and keeps PostgreSQL features such as JOINs and ACID transactions.

Simple Pricing. Room For Your Vectors.

Dedicated Cloud VPS sizes for pgvector hosting. Start with the one that fits your data, and resize when your indexes grow.

Cloud VPS 6 GB

Cloud VPS 16 GB

More memory for larger indexes and faster index builds.

$59.99per month

16 GB RAM
6 vCPU cores
200 GB NVMe SSD
30 TB
Unlimited

Get started

Every size is a dedicated Cloud VPS that xCloud sets up, with server security updates on. Billed monthly with no lock-in. Delete the server and the unused balance returns to your account. pgvector is released under the PostgreSQL License.

Docker hosting

Already Have a Server? Bring Your Own

Connect a VPS from DigitalOcean, Vultr, Linode, AWS, Hetzner or your own hardware, and deploy pgvector on it from the same dashboard. You pay a per-server fee to xCloud in place of a Cloud VPS rental.

Free

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10 sites

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$4per server / month

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All features included
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The same platform, discounted at 11+ servers.

$3per server / month

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Unlimited sites
All features included
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Priced per connected server, so your rate follows the number of servers you connect. You pay your own provider for the server itself.

Self-managed hosting

Ready To Run Your Own Vector Database?

pgvector on xCloud is a real PostgreSQL server on a Cloud VPS that stays yours. xCloud sets it up. You keep the data, the roles and the choice of indexes.

Fast Provisioning
Create a Cloud VPS or connect your own server, then add pgvector from the OneClick catalog. The extension is enabled before you connect.
Access You Decide
pgvector has no domain and no SSL certificate. It listens on your server's IP and an assigned port, so limit that port to trusted client IPs and use a VPN or SSH tunnel on networks you do not trust.
One Control Panel
Read the host, port, database, username and password from the dashboard, and restart pgvector from the same place.

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Frequently Asked Questions

Feel free to contact us with any questions or concerns you may have.

Can I run pgvector in Docker?

Yes. This app is pgvector in Docker without the setup: the pgvector 0.8.6 image on PostgreSQL 17, a persistent data volume, a generated database, username and password, and the vector extension already enabled.

How much RAM does pgvector need?

The template's minimum is 512 MB of RAM, 1 CPU core and 5 GB of disk. That is only a starting point. Building vector indexes and holding a production dataset can need much more memory and storage, so size the server for your index type, dimensions and data.

How do I connect to pgvector?

Open the app's credentials in xCloud. They show the host, port, database, username and password, plus a PostgreSQL URI you can copy. Paste the URI into psql or your application's PostgreSQL driver. The port is one xCloud assigns, so use the port shown there.

Does pgvector have a web interface?

No. pgvector is a PostgreSQL extension, so this app is a database you reach with a PostgreSQL client. It has no login page, no domain and no SSL certificate. Use psql, a database tool or your own application.

Is the database reachable from the internet?

Yes. The database accepts connections on your server's IP address and its assigned port. Restrict that port to trusted client IPs with a firewall before you store real data. The connection is not encrypted by default, so set up PostgreSQL TLS, a VPN or an SSH tunnel across untrusted networks.

Should I use an HNSW or IVFFlat index?

HNSW has better query performance than IVFFlat, but it builds more slowly and uses more memory. IVFFlat builds faster and uses less memory. An HNSW index can also be created on an empty table, because it needs no training step.

How many dimensions can pgvector index?

An index on the vector type supports up to 2,000 dimensions. Half-precision vectors can be indexed up to 4,000 dimensions and binary vectors up to 64,000. Sparse vectors can be indexed with HNSW up to 1,000 non-zero elements.

Can I use pgvector in a second database?

Yes. xCloud enables the extension in the database it generates. For any other database you create on the same server, run CREATE EXTENSION vector once in that database.

Can I change the generated password?

Yes, with SQL. The username, password and database name in the Environment tab are read only when the data directory is empty. Editing them later changes nothing, so change a password with ALTER ROLE in psql and then update your clients.

Is pgvector free?

Yes. pgvector is open source under the PostgreSQL License, so the software has no licence fee. You pay for the Cloud VPS it runs on, or for your own server plus xCloud's per-server fee.

How do I back up pgvector?

Back up the pgvector_data volume, which holds the whole PostgreSQL data directory. Also take a logical backup with pg_dump or pg_dumpall, because a dump can be restored on another server or PostgreSQL version. Test a restore before you rely on either.

Backup and restore Docker apps

How do I upgrade pgvector?

Your install stays on its pinned pgvector 0.8.6 and PostgreSQL 17 image. New template releases apply to new installs only, and nothing upgrades automatically. Before you change the image, take a pg_dump and read the pgvector and PostgreSQL release notes. A new PostgreSQL major version needs pg_upgrade or a dump and restore.

Can I cancel anytime?

Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.