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

Incremental processing and maintaining data freshness with CocoIndex and LanceDB

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 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

Minimal FastAPI project to test storing and searching image vector data using the Lance format on Cloudflare R2.

Chat-style multimodal assistant for ByteDance Lance (T2I/T2V/edit/understand) with optional OpenAI-compatible VLM orchestrator. FastAPI + Preact streaming UI, auto-downloading weights.

Convert Beneficial Ownership Data Standard (BODS) v0.4 data to the Lance columnar format

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