Technology

LanceDB

LanceDB is the serverless, open-source vector database for multimodal AI: it powers fast, scalable RAG and semantic search applications.

LanceDB is your multimodal AI lakehouse, built on the high-performance Lance columnar format (Rust-based). This architecture provides a unified data store, natively handling vectors, metadata, and raw multimodal data (text, images, video) to eliminate separate databases. Leverage its disk-based indexes for low-latency vector search, full-text search, and SQL queries over petabyte-scale datasets. The platform delivers the speed and scalability required for production-ready RAG, autonomous agents, and large-scale model training workflows.

https://lancedb.com/

What builders pair with LanceDB

Projects using both technologies. Select a pairing to see a project.

Built with LanceDB

Python 4 shared projects Agent Skills 1 shared project BAML 1 shared project Claude Code 1 shared project Daft 1 shared project dlt 1 shared project

12 more pairings

GEPA 1 shared project GLM 1 shared project Haiku 1 shared project Happy 1 shared project Kiln AI 1 shared project LiteLLM 1 shared project OpenAI Codex 1 shared project OpenRouter 1 shared project Opus 1 shared project PyArrow 1 shared project Pydantic 1 shared project RAG 1 shared project

Pairing: Python

Photo from the event — Event photo

Reality Check: Building a Personal Fact-Checking Framework

Tokyo · February 19, 2026

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Agents Building Agents: Reflective Optimization Loops

Reality Check: Personal Fact-Checking

Claude Code OpenAI Codex

Archetype ECS for AI Simulations

Tactician: Actionable Workplace Advice

Python TypeScript

dlt: Up-to-Date RAG Ingestion