The multimodal lakehouse for AI. One table for raw data, embeddings, and features. Searchable, processable, trainable across every stage of the model lifecycle.
Focus Area
Open-Source Embedded Vector Database for Multimodal AI Applications
Core Features & Capabilities
•Provides multi-modal vector search for text, image, video, and 3D data.
•Serverless, embedded architecture requiring zero database management setup.
•Delivers fast, low-latency disk-based vector indexing and retrieval.
Best For
Software Developers
Integrations
MakeClaude
Architecture & Security
•Open-source columnar disk-native vector database written in Rust with Python/Node.js SDKs.
Pricing Details
•100% Free open-source; Enterprise cloud version available.