lance
Multi-tenant vector search on object storage. Vector search on object storage.
The cost efficiency of S3 with the speed of local RAM. A multi-tenant vector and full-text search engine featuring a tiered RAM → NVMe → S3 architecture for microsecond latency on top of object storage
A multi-tenant search engine that pairs LanceDB with a tiered RAM + NVMe cache. Every namespace lives on cheap object storage (AWS S3, MinIO, R2, Tigris, DigitalOcean Spaces, or native Google Cloud Storage) with near-zero idle cost. Every cache hit costs zero backend requests.
Related contents:
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
Lance is a modern columnar data format optimized for machine learning and AI applications. It efficiently handles diverse multimodal data types while providing high-performance querying and versioning capabilities.
Related contents: