database/pgvecto.rs
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docs: update to ghcr in README (#642)

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Signed-off-by: Keming <kemingyang@tensorchord.ai>
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@ -9,7 +9,7 @@
<a href="https://github.com/tensorchord/pgvecto.rs#contributors-"><img alt="all-contributors" src="https://img.shields.io/github/all-contributors/tensorchord/pgvecto.rs/main"></a>
</p>
pgvecto.rs is a Postgres extension that provides vector similarity search functions. It is written in Rust and based on [pgrx](https://github.com/tcdi/pgrx).
`pgvecto.rs` is a Postgres extension that provides vector similarity search functions. It is written in Rust and based on [pgrx](https://github.com/pgcentralfoundation/pgrx).
> [!NOTE]
> We have a new implementation [VectorChord](https://github.com/tensorchord/VectorChord/) with better stability and performance. Users are encouraged to migrate to VectorChord. Check out the [migration guide](https://docs.vectorchord.ai/vectorchord/admin/migration.html).
@ -43,14 +43,14 @@ Checkout [pgvecto.rs vs pgvector](https://docs.vectorchord.ai/faqs/comparison-pg
## Quick start
For new users, we recommend using the [Docker image](https://hub.docker.com/r/tensorchord/pgvecto-rs) to get started quickly.
For new users, we recommend using the [Docker image](https://github.com/tensorchord/pgvecto.rs/pkgs/container/pgvecto-rs) to get started quickly.
```sh
docker run \
--name pgvecto-rs-demo \
-e POSTGRES_PASSWORD=mysecretpassword \
-p 5432:5432 \
-d tensorchord/pgvecto-rs:pg16-v0.2.1
-d ghcr.io/tensorchord/pgvecto-rs:pg17-v0.4.0
```
Then you can connect to the database using the `psql` command line tool. The default username is `postgres`, and the default password is `mysecretpassword`.