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

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

Lakehouse native graph engine with git-style workflows

Skardi is an agent data plane that gives AI agents data autonomy.

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

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

An AI-Native ECS Simulation Engine combining the composibility of Pydantic with the distributed processing power of Daft Dataframes and Multi-Modal Big Data storage with LanceDB

Incremental processing and maintaining data freshness with CocoIndex and LanceDB

LanceDB C# SDK

Prototype database for designing database kernel

A minimal image search engine showcasing Firn over Lance on AWS S3. Upload an image, CLIP turns it into a 512-dim vector, Lance stores it on S3, and Firn serves nearest-neighbour queries through a tiered RAM + NVMe cache.

Polars plugin for reading and writing Lance datasets

A bridge between Lance.gg and React

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

✨ Un jeu du dé totalement fait en Python par moi, et en français.

A minimal storage layer for storing large matrices and embeddings

A minimal FastAPI API that accepts an image via POST, stores it locally with a SHA256 filename, vectorizes it using OpenAI's CLIP model, and appends the vector to a local Lance dataset. Designed as a small MVP for local or Fly.io deployment.

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

JSON parser design pattern 🔱