About LanceDB
A multimodal lakehouse and vector database built on the Lance columnar format that stores vectors alongside multimodal data and supports vector search, SQL, and training pipelines.
Key Features
- Unified storage for multimodal data (text, images, video, audio) plus embeddings with zero-copy access and versioning.
- Fast hybrid search, filters, SQL access, and integrations for training/feature engineering at scale.
- Open-source OSS + managed Cloud/Enterprise options; embedded and serverless deployment models.
Use Cases & Best For
Teams needing a unified multimodal data lake with native vector search for training, RAG, and analytics.
Researchers and ML engineers who want integrated data versioning, fast data access, and training pipelines alongside retrieval.
About Vector Databases
Storage and retrieval for embeddings