KX has announced the general availability of KDB.AI Cloud, a vector database, for real-time contextual AI. It is available now as a free to use, SaaS-based service. It works with LangChain and ChatGPT and other popular LLMs and machine learning workflows and tools. Developers can perform common operations like data ingestion, search, and analytics using their preferred applications and languages with its native support for Python and RESTful APIs.
Key uses
- Multi-modal unstructured data search – similarity search between objects in any data format – video, image, text, time series, or unstructured.
- Automation with digital twins. By providing situational awareness based on time, vectors can be applied to provide context into streams of IoT data from digital twins, to automate with confidence.
- Pattern matching and anomaly detection – spot anomalies in data sets to build data integrity and boost performance.
- Recommendation systems – refine algorithms based on feedback loops for adaptive user experiences.
- Sentiment analysis – detect customer patterns and improve user experiences.
"Our platform infuses time-awareness and situational understanding into vector database-driven AI processes, ensuring unmatched precision for generative AI applications. I eagerly anticipate the ground-breaking solutions that developers worldwide will forge with KDB.AI Cloud, reshaping industries and establishing fresh standards for innovation." remarked Ashok Reddy, CEO of KX.
