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.
