Build the highest performing, most precise, and cost effective AI
Build AI apps to act on massive amounts of real-time data to build an infinite context window on less infrastructure.
Accurate predictions, faster
Feed insatiable AI algorithms to successfully ingest, persist, search, and retrieve from massive amounts of data at the industry’s lowest latency.
No more limits
Achieve performance, scale — billions of graph vertices, each with 1000s of edges or large amounts of vectors — and reduce costs by 80%, all at the same time.
Maximum flexibility
Choose the best representation for your AI features by using one database that can handle vector search, key-value, and graph for all real-time AI use cases.
Powering AI applications for industry leaders
See all customer storiesUse cases
From startups to enterprises, businesses of all sizes rely on data to make mission-critical predictive decisions.
Retrieval augmented generation (RAG)
Integrate real-time data retrieval into the generative process to improve quality and relevance while preventing hallucinations.
Semantic search
Leverage foundational models to search across a wide range of data types such as text, images, video, and music.
Recommendations
Hyper-personalization for better customer experience, leading to higher engagement and conversion rates.
Fraud prevention
Minimize friction and false positives in real-time while accurately detecting and preventing fraud.
Ad targeting
Deliver more personalized ads with higher precision with first party data, data clean rooms, or universal IDs.
Additional resources
For a deeper understanding and more insights, explore these additional resources.
- Blog
Five observations from enterprises using vectors to build AI applications
Vectors are transforming the dynamic AI/ML landscape, ushering in a wave of new use cases while shattering long-standing barriers. But some challenges remain.
- Webinar
How real-time data and vector can unlock AI/ML apps
Real-time vector and graph databases are the keys to allowing AI and ML apps to leverage data how developers need. Learn more from this webinar with Forrester.
- White paper
Machine Learning Applications (AI/ML) - Feature Store
Machine learning applications with a modern feature store help AI/ML systems to improve customer experience, sales and marketing.
