ApertureData
Multimodal database for AI with vector search and graph
About ApertureData
ApertureData develops ApertureDB, a database that stores images, video, documents and their metadata together with vector and graph search. It targets teams building multimodal AI and retrieval applications.
Common use cases
- Multimodal RAG
- Visual search
- Training dataset curation
- Video analytics
Products and services
ApertureDB
Multimodal database combining vector search, graph metadata and media storage.
ApertureDB Cloud
Managed hosted version of the database.
Key features
- Vector similarity search
- Graph metadata queries
- Image and video storage
- Dataset management
- Python SDK
- Embedding workflows
Integrations
- PyTorch
- LangChain
- LlamaIndex
- Hugging Face
- AWS
ApertureData alternatives
FAQs
What data types does it handle?
Images, video, documents, embeddings and their metadata in one system.
Is there a managed option?
Yes, a cloud service is offered alongside self-hosted deployment.
Who is it for?
Data and ML teams building multimodal AI applications.
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