Enhance search accuracy and analytics with a vector database designed for AI.

Introducing KDB.AI

KDB.AI is a multi-modal vector database enabling scalable, real-time AI applications with advanced capabilities such as search, personalization, and Retrieval Augmented Generation (RAG).It integrates temporal and semantic relevance into workflows, helping developers optimize costs while working seamlessly with popular LLMs.Built for speed and flexibility, KDB.AI supports high-performance, time-based, multi-modal data queries, making it ideal for enterprise AI solutions.

Features

Dynamic hybrid search

Combine similarity, exact, and literal search within a single query to maintain result relevance as content evolves.

Mixed search

Leverage hybrid, semantic, keyword, and temporal search to execute queries faster and achieve more accurate results.

Multimodal RAG

Seamlessly connect with Large Language Models (LLMs) to enhance and personalize search outcomes.

Zero embedding

Perform search 17x faster with 12x less memory than HNSW, eliminating the complexity of embeddings in environments with fast changing temporal data.

CPU centric

Obtain all the advantages of KDB.AI using CPUs for a performant alternative to AI processing.

Killer compression

Reduce memory and on-disk storage by 100x for slow-changing time-based data sets, accelerating search by 10x​.

Use cases

Spot patterns and anomalies, drive smarter decisions

Analyze trends, detect anomalies, and forecast events with unmatched efficiency. Leverage time-oriented data to spot patterns and outliers to enable faster, data-driven decision-making.

Bridge LLMs and unstructured data for AI success

Easily integrate with LLMs for personalized, high-quality search results. Process unstructured data enabling advanced modeling and efficient handling of Generative AI complexities.

​Fast, scalable search across all your data types

Enable hybrid, semantic, keyword, and temporal searches to meet the growing demand for scalable, high-performance vector rendering in modern applications.