{"repo":"tensorchord/pgvecto.rs","free":true,"listed":false,"github":"https://github.com/tensorchord/pgvecto.rs","clone":"git clone https://github.com/tensorchord/pgvecto.rs.git","description":"Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.","language":"Rust","stars":2183,"topics":["llm","vector","vector-database","faiss","nearest-neighbor-search","gpt","chatgpt","hacktoberfest","rust","postgres"],"license":"Apache-2.0","category":"databases-storage","readme_excerpt":"pgvecto.rs pgvecto.rs is a Postgres extension that provides vector similarity search functions. It is written in Rust and based on pgrx. [!NOTE] We have a new implementation VectorChord with better stability and performance. Users are encouraged to migrate to VectorChord. Check out the migration guide. Comparison with pgvector Checkout pgvecto.rs vs pgvector 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 - Getting Started - Overview - Installation - Usage - Indexing - Searc","default_branch":null,"files":null,"tree":[],"storefront":"/r/tensorchord","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/tensorchord/pgvecto.rs/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}