Lakehouse native graph engine with git-style workflows

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

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 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

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

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

Durable, searchable memory of your past agent sessions.

LanceDB C# SDK

Incremental processing and maintaining data freshness with CocoIndex and LanceDB

Prototype database for designing database kernel

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 distributed data-processing engine for large-model (LLM) data — SQL, curation, vector/FTS retrieval, multimodal — on stock DuckDB with Rust orchestration.

A minimal storage layer for storing large matrices and embeddings

JSON parser design pattern 🔱

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.