lance

Object-storage native graph database with branching and typed ontology

AI-Native & Cloud-Native FS: A high-performance file semantic layer for cloud object storage, integrated with high-speed cache. CNCF Sandbox Project.

Durable, searchable memory of your past agent sessions.

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

Skardi is a self-improving context framework for ai agents

Lossless storage and search for AI agent sessions, across every agentic client.

Browse Lance tables from your local machine in a simple web UI. No database to set up. Mount a folder and go.

Integration between Lance and Ray for distributed data processing

One bucket, every index: open-source, AI-native data platform in Rust. Hybrid retrieval on object storage, plus reactive data (Live), graph, SQL, Postgres and durable agent runs. Preview.

Comparing LanceDB and Elasticsearch for full-text search and vector search performance

LanceDB C# SDK

Incremental processing and maintaining data freshness with CocoIndex and LanceDB

Polars plugin for reading and writing Lance datasets

Prototype database for designing database kernel

Cocoindex-based code indexing service with HNSW, automatic disk compaction, MCP Server, periodic git pull, metrics push to MySQL, and space-efficient branch searching

High-performance C++23/Python sparse storage engine for PB-scale recommender system embeddings, Engram, MoE, and KV Cache. Features Hogwild! lock-free updates, slot-directory reads, AVX-512 SIMD, and Lance 2PC checkpointing. Jax, PyTorch are all available.

Inspect, query, and export Lance datasets from the command line

Understand the structure of your data — without training machine learning models

A bridge between Lance.gg and React

Using the Lance extension in DuckDB for querying, joining and materializing on tables in either system