Vector databases don't get as much love as their flashier counterparts, large language models (LLMs). But the startups building them are still crucial to the current AI revolution, and investors are ...

When you start learning about RAG, you encounter the term "vector database" quite early on.Create embeddings. Search for ...

Elastic N.V. launched its Elasticsearch Vector Database, a serverless AI search product with 32x memory reduction targeting RAG and AI agent ...

Elastic (NYSE: ESTC) today announced Elasticsearch Vector Database, a new serverless offering purpose-built for large-scale vector search and AI applications. Elasticsearch is already one of the most ...

This expansion is fueled by the rapid adoption of AI, LLMs, and multimodal applications that require high-performance vector search, scalable indexing, and real-time retrieval. By offering, the ...

Companies across every industry increasingly understand that making data-driven decisions is a necessity to compete now, in the next five years, in the next 20 and beyond. Data growth — unstructured ...

Each step adds operational overhead as data volumes grow, with most pure-play vector databases adding unpredictable pricing on top. Elasticsearch Vector Database handles all of this automatically ...

Data Cloud Vector Database will unify all business data, including unstructured data like PDFs, emails, and transcripts, with CRM data to enable grounding of AI prompts and Einstein Copilot, ...

In the age of generative AI (genAI), vector databases are becoming increasingly important. They provide a critical capability for storing and retrieving high-dimensional vector representations, ...

Couchbase on Tuesday launched a new version of its database platform, highlighted by improved vector indexing and retrieval capabilities aimed at making it faster to develop enterprise-grade AI ...