kdb.ai Vector Database for AI Applications
kdb.ai helps software and enterprise companies manage and search through large sets of structured and unstructured data. It is designed for teams building AI assistants or analytics tools that require high-performance retrieval.
At a glance
- Category
- Data & Analytics
- Best for
- Software Companies, Enterprise Companies, AI Developers, Data Engineers
- Pricing
- kdb.ai offers a free tier and a 90-day free trial, with commercial options available based on specific requirements.
- Key use cases
- AI Research Assistants, Portfolio Management, Signal Extraction, Edge Image Processing
- Official website
- kdb.ai
kdb.ai is a scalable vector database designed for contextual and time series search. It allows developers to combine structured data with unstructured data—such as text, video, audio, and images—to support the creation of AI applications and Retrieval Augmented Generation (RAG) workloads.
The platform is intended for technical teams at software and enterprise companies who need to analyze patterns in large datasets. It integrates NVIDIA cuVS to provide GPU-accelerated vector search, which supports similarity searches on unstructured data.
Users may deploy the system on-premises or through a cloud provider. The tool provides various indexing methods and search types, including hybrid semantic search and temporal similarity search, to help refine how data is retrieved.
Buyers should confirm their specific hardware and deployment requirements, as the high-performance features are designed to leverage GPU acceleration and specific indexing types like qHNSW and qFlat.
Key Features
Integrates NVIDIA cuVS to support scalable similarity search for AI and RAG workloads.
Designed to handle unstructured data types including text, video, audio, and images.
Uses qHNSW and qFlat indexing to help manage memory and storage requirements.
A capability designed for fast-changing temporal data that supports searches without traditional embeddings.
Combines semantic and keyword vector searches to help increase search relevance.
Supports searching and pattern matching across time-series datasets.
Allows vectors to be filtered based on structured metadata to refine search accuracy.
Use Cases
Supports the creation of natural language assistants that retrieve insights from SEC filings and market data.
Helps wealth teams monitor client profiles and market data to support rebalancing in real time.
Uses similarity search to help detect market regime shifts and alpha signals in real time.
Analyzes image and sensor streams at the edge to help trigger actions in real time based on visual evidence.
Best For
Pricing
kdb.ai offers a free tier and a 90-day free trial, with commercial options available based on specific requirements.
FAQ
kdb.ai is a scalable vector database designed for software and enterprise companies building AI applications, specifically those needing contextual and time series search.
Yes, kdb.ai provides a free tier and a 90-day free trial period.
kdb.ai can be deployed on-premises or through a cloud provider of the user's choice.
Source category: Data & Analytics
Source subcategory: Database
