KX’s performant and scalable vector database, KDB.AI Server Edition, is now generally available for time-oriented generative AI and contextual search. KX is a worldwide supplier of vector and time-series data management. KDB.AI Server, which can be deployed in a single container using Docker, would provide a seamless setup experience for a variety of systems, including cloud, on-premises, and hybrid ones.
This would enable enterprises to swiftly embrace and use its AI capabilities without having to deal with laborious setup procedures.
Although generative AI has the potential to drastically increase productivity and create competitive differentiation, as shown by a recent Accenture study, 84% of global C-suite executives feel that using AI is essential to achieving their growth goals, yet 76% say they have trouble scaling. This issue would be resolved by KDB.AI Server, which enables businesses to enhance their AI applications with data processing and search capabilities that grow to accommodate the demands of the biggest, most sophisticated organizations.
KDB.AI Server would effortlessly manage both structured and unstructured business data since it was designed to handle high-speed, time-oriented data and multi-modal data processing. This would allow for comprehensive search across all data assets with improved accuracy and cheaper costs. KDB.AI would provide developers the highest level of freedom in searching data by offering them temporal and semantic context and relevance for their AI-powered applications.
Furthermore, KDB.AI Server is designed with Retrieval Augmented Generation (RAG) patterns in mind. This means that developers can add data relevance to their prompts instead of constantly training and optimizing Large Language Models (LLM), which would help improve accuracy, reduce costs, and eliminate the need for GPUs.
Notable enterprise-grade features would include the following:
- Advanced metadata filtering - Users may focus and refine searches for more specific and relevant results, increasing the efficacy and efficiency of data analysis across big datasets. This is one of the notable enterprise-grade features.
- Multi-modal data handling - Accommodates a variety of data formats, such as text, audio, video, and picture files.
- Easy to Use - simplified REST API or Python querying, allowing any language to be used.
- Performance - Engineered to manage billions of vector searches across a wide range of corporate data.
- Integrated Solutions - API-accessible and fully compatible with well-known solutions like LangChain.
“KDB.AI Server Edition's release is a revolutionary leap for corporate AI. It is designed for a world in which data is a strategic superpower, allowing companies to develop distinctive, personalized AI solutions from their own data to gain a clear competitive advantage,” said Ashok Reddy, CEO of KX. “KDB.AI Server Edition isn't simply a new product; it's a step into the generative AI age, guaranteeing that organizations not only adapt but also flourish and lead in the fast-expanding AI field by blending unmatched data processing with agility and privacy.”
Transforming Enterprise Decision Making
“The promise of generative AI lies in its ability to transform enterprise decision making by enabling new ways to understand information, drive efficiency, and augment human intelligence,” said Jonny Press, Chief Technology Officer (CTO) of Data Intellect. “KDB.AI Server is notable in this case. KDB.AI Server’s distinct capabilities power versatile applications across a broad range of industry sectors, including: The integration of its innovative capabilities into our solutions helps push the boundaries of what’s possible for our clients and ensures world-leading organizations can successfully compete in the age of AI.”
KDB.AI Server’s unique capabilities would power versatile applications across a broad range of industry sectors including:
- Financial Services - To improve trading tactics and lower risk, use contextual and temporal search
- Gaming & E-commerce - Real-time risk assessments and fraud detection in gaming and e-commerce
- Healthcare & Life Sciences - Patient record analysis speeds up the process of diagnosing conditions, creating individualized treatment regimens, and discovering novel medications
- Manufacturing & Energy - Comprehensive exploration of predictive maintenance, minimizing equipment unavailability, and enhancing operational effectiveness
- Aerospace & Defense - Correlating information via operational data analysis enhances command decision making
- Government - Document, audio, video, and image file searches and summaries
