{"repo":"XiangpengHao/pq-vector","free":true,"listed":false,"github":"https://github.com/XiangpengHao/pq-vector","clone":"git clone https://github.com/XiangpengHao/pq-vector.git","description":"Vector search using only Parquet and DataFusion","language":"Rust","stars":62,"topics":["datafusion","parquet","vector-database","vector-search"],"license":null,"category":"databases-storage","readme_excerpt":"pq-vector Vector Search with only Parquet and DataFusion Features - Embedded Index : Index stored within the Parquet file itself - no separate index files - Standard Compatible : Indexed files remain valid Parquet - DuckDB, Pandas, etc. can read them normally - DataFusion integration : Ergonomic vector search with just SQL. - Zero-copy : Zero-copy, in-place Parquet indexing. Quick start 1) Build an index 2) Search with Rust 3) DataFusion SQL If you already have a custom SessionConfig , enable pq-vector like this: Notes - k controls how many results you return. - nprobe trades speed for recall (higher = more accurate, slower). License MIT or Apache","default_branch":null,"files":null,"tree":[],"storefront":"/r/XiangpengHao","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/XiangpengHao/pq-vector/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."}