What is BilberryDB?
Build multimodal SOTA apps with lightning-fast embedding search across 3D models, images, videos, IoT sensor data, tabular data, audio, and text.
Problem
Users currently rely on traditional vector databases handling only single data types, leading to fragmented workflows and integration complexity and slower performance when processing multimodal data like 3D models, images, and videos.
Solution
A no-code multimodal vector database enabling users to build AI applications with lightning-fast embedding search across 3D models, images, videos, IoT data, audio, and text, eliminating manual integration and coding barriers.
Customers
Data scientists, machine learning engineers, and developers building AI applications requiring unified analysis of images, videos, 3D models, and sensor data.
Unique Features
Supports 7+ data modalities (3D, video, audio, etc.) in a single no-code platform, offers real-time embedding search with sub-100ms latency, and integrates with AI/ML frameworks like PyTorch and TensorFlow.
User Comments
Simplifies multimodal AI development
Reduces infrastructure management time
Delivers fast search performance
Cost-effective compared to custom solutions
Lacks advanced visualization tools
Traction
Launched on ProductHunt in 2024 with 500+ upvotes, used by 1K+ developers, integrates with major cloud platforms (AWS, GCP, Azure), active GitHub repository with 800+ stars.
Market Size
The global vector database market size was valued at $1.5 billion in 2023 (Grand View Research) and is projected to grow at a 15% CAGR from 2024 to 2030, driven by multimodal AI adoption.
