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home kdb ai learning hub documentation solutions contact sales learning hub documentation solutions sign up free the scalable vector database for ai the vector database for contextual and time series search build ai apps find patterns in your data and mix structured with unstructured data try kdb x contact sales hybrid search copy python user query query how is acme inc managing its loan losses as of late create the dense query vector dense_query embedding_model encode query tolist create the sparse query vector sparse_query dict counter ids for ids in tokenizer query add_special_tokens false max_length none input_ids hybrid search table search vectors sparse_index sparse_query dense_index dense_query index_params sparse_index weight 0 5 dense_index weight 0 5 n 5 metadata filtering copy python table search dense_query n 3 filter sym aaa price 100 00 temporal similarity search copy python time series window query vector q aaa_df price 100 tolist search for similar time series windows table search vectors price q n 10 type tss outlier search for anomaly detection res table search vectors price q n 10 type tss 0 multi search over multiple temporal windows simultaneously table search vectors price q q2 q3 n 10 type tss nvidia and kdb ai gpu accelerated vector search for agents and rag kdb ai now natively integrates nvidia cuvs bringing gpu accelerated vector search to your ai and rag workloads for dramatically faster scalable similarity search on unstructured data explore the end to end nvidia kdb ai rag blueprint to get started quickly with high performance retrieval on your own data deploy the blueprint high impact use cases for real time explainable ai ai research assistant transform sec filings market data and internal documents into searchable auditable insights in real time personalized portfolio manager monitor portfolios and enable client level rebalancing at scale embedding preferences and risk rules real time alpha beta extraction detect subtle market shifts and extract alpha signals faster using real time data analytics image processing recognition analyze image and sensor streams at the edge to trigger explainable real time actions view use case solutions why build with kdb ai multimodal rag ability to handle genai complexities for modeling unstructured data such as text video audio and images multi index search unify multiple indexes at once for multi layered embeddings creating flexibility and faster search on disk indexing scale with purpose built qhnsw and qflat indexing to lower costs and memory requirements zero embedding perform search 17x faster with 12x less memory than hnsw without the need for embeddings for fast changing temporal data killer compression reduce memory and on disk storage by 100x for slow changing time based data sets and accelerate search by 10x dynamic hybrid search combines similarity exact and literal search in a single query where query results remain relevant with content changes integrated with preferred gen ai tools browse all integrations explore our community resources youtube channel learn from our ai experts with helpful videos on vector databases explore content github repository get hands on with our code repositories and try out sample projects explore code samples slack community get fast responses to your questions from community and kx experts join the community grow your vector database knowledge new to vector databases master the basics and explore key use cases like semantic search recommendation systems and anomaly detection choose your topic temporal search compress and search over massive fast flowing time series datasets hybrid search combine semantic and keyword vector searches for increased search relevance metadata filtering filter vectors based on unlimited metadata to refine search accuracy with structured data indexing methods understand how to optimize your retrieval of vectors in a variety of scenarios retrieval augmented generation build internal knowledge bases that extend the power of large language models chunking strategies chunk documents and inject relevant data into llms to reduce hallucination enhance generative ai with the true power of your data 2026 kx all rights reserved privacy policy cookies settings slack community