BilberryDB Product Information
BilberryDB Overview
BilberryDB is an enterprise-grade, multimodal vector database platform designed for storing, indexing, and searching embeddings from images, video, audio, and text. It enables AI-powered similarity search, recommendation systems, and analytics, supporting both technical and non-technical users in building state-of-the-art multimodal applications.
- Unified vector database for images, audio, video, text, and tabular data
- Ultra-fast, scalable vector search and retrieval for lightning-quick queries
- No-code deployment engine: build and deploy AI search or classification apps directly on your own data
- Few-shot learning support: build robust models with minimal labeled examples
- Multi-modal vector indexing for hybrid and semantic search across unstructured data types
- SDKs available in TypeScript, JavaScript, and Rust for flexible development
- Developer tools for image search, classification, de-duplication, and visual recommendation systems
- Built-in analytics for visualizing vectors and monitoring data collections
- API and cloud-native architecture for seamless scaling and enterprise integration
Key Benefits
- Empowers teams to create production-ready AI apps without deep ML expertise
- Enables multimodal enterprise search across diverse data such as images, documents, audio, and sensor data
- Reduces AI model development time and data labeling requirements
- Deployable with minimal infrastructure overhead for rapid experimentation
- Open SDKs and visual demos for developers to quickly integrate and experiment
Popular Use Cases
- Visual search in ecommerce and design
- Audio and video similarity detection
- Large-scale document or sensor data search
- Real-time recommendation systems
- Enterprise knowledge management and analytics
Useful Links
- Official Website: bilberrydb.com
- No-Code App Playground: app.bilberrydb.com
- SDKs and Docs: Linked on official website and developer platforms
Suggested Tags
vector database multimodal AI similarity search no-code app scalable embeddings