Vector database capability for AI applications, semantic search, and intelligent data infrastructure
Features
- Vector database capabilities
- Semantic retrieval and similarity search
- Data foundation for AI apps
- Fit for RAG and agent scenarios
- Structured data with vector capabilities
- Enterprise data-platform extension
Use Cases
- RAG app development
- Enterprise knowledge retrieval
- Agent memory and retrieval
- Semantic search systems
- Recommendation and matching
- Data-driven AI app development
FAQ
Actian VectorAI DB supports teams that need vector retrieval, similarity search, and AI data workflows, combining structured data with vector capabilities for RAG, agents, and enterprise AI apps. Core capabilities include: Vector database capabilities, Semantic retrieval and similarity search, Data foundation for AI apps.
Common scenarios include: RAG app development, Enterprise knowledge retrieval, Agent memory and retrieval.
