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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
| Date | Stars |
|---|---|
| 2026-07-24 | 2180 |
| 2026-07-25 | 2180 |
| 2026-07-28 | 2180 |
| 2026-07-30 | 2180 |
| 2026-08-06 | 2180 |
Today
— stars today
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Momentum
0.0
growth rate 0.00%/day
<div align="center"> <h1>pgvecto.rs</h1> </div> <p align=center> <a href="https://discord.gg/KqswhpVgdU"><img alt="discord invitation link" src="https://img.shields.io/discord/974584200327991326?style=flat&logo=discord&cacheSeconds=60"></a> <a href="https://twitter.com/TensorChord"><img src="https://img.shields.io/twitter/follow/tensorchord?style=flat&logo=X&cacheSeconds=60" alt="trackgit-views" /></a> <a href="https://hub.docker.com/r/tensorchord/pgvecto-rs"><img src="https://img.shields.io/docker/pulls/tensorchord/pgvecto-rs" /></a> <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/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). ## Comparison with pgvector Checkout [pgvecto.rs vs pgvector](https://docs.vectorchord.ai/faqs/comparison-pgvector.html) for more details. | Feature | pgvecto.rs | pgvector | | --- | --- | --- | | Filtering | Introduces VBASE method for vector search and relational query (e.g. Single-Vector TopK + Filter + Join). | When filters are applied, the results may be incomplete. For example, if you originally intended to limit the results to 10, you might end up with only 5 results with filters. | | Vector Dimensions | Supports up to 65535 dimensions. | Supports up to 2000 dimensions. | | SIMD | SIMD instructions are dynamically dispatched at runtime to maximize performance based on the capabilities of the specific machine. | Added CPU dispatching for distance functions on Linux x86-64" in 0.7.0. | | Data Types | Introduces additional data types: binary vectors, FP16 (16-bit floating point), and INT8 (8-bit integer). | \- | | Indexing | Handles the storage and memory of indexes separately from PostgreSQL | Relies on the native storage engine of PostgreSQL | | WAL Support | Provides Write-Ahead Logging (WAL) support for data, index support is working in progress. | Provides Write-Ahead Logging (WAL) support for index and data. | | ## [Documentation](https://docs.vectorchord.ai/getting-started/overview.html) - Getting Started - [Overview](https://docs.vectorchord.ai/getting-started/overview.html) - [Installation](https://docs.vectorchord.ai/getting-started/installation.html) - Usage - [Indexing](https://docs.vectorchord.ai/usage/indexing.html) - [Search](https://docs.vectorchord.ai/usage/search.html) - Administration - [Configuration](https://docs.vectorchord.ai/admin/configuration.html) - [Upgrading from older versions](https://docs.vectorchord.ai/admin/upgrading.html) - Developers - [Development Tutorial](https://docs.vectorchord.ai/developers/development.html) ## Quick start 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 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`. ```sh psql -h localhost -p 5432 -U postgres ``` Run the following SQL to ensure the extension is enabled. ```sql DROP EXTENSION IF EXISTS vectors; CREATE EXTENSION vectors; ``` pgvecto.rs introduces a new data type `vector(n)` denoting an n-dimensional vector. The `n` within the brackets signifies the dimensions of the vector. You could create a table with the following SQL. ```sql -- create table
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c5f4451b314af1c7, topic:vector-database, topic:faiss, topic:nearest-neighbor-search
matched fp:c5f4451b314af1c7, topic:llm, topic:gpt