Semantic memory uses a vector search to provide a prompt that can be used to deliver a factual output from an LLM. A vector database manages the context for the initial prompt, a vector search ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

DataStax, the well-funded Apache Cassandra-centric database company, is placing a lot of its current bets on AI and its technology’s ability to provide highly scalable vector search capabilities ...

Vector search can also help reduce “hallucinations” in LLM applications, through providing additional information that might not have been available in the original training dataset.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today, VectorShift, a startup working to simplify large language ...

This is why we’re excited to announce the addition of vector search to the InterSystems Iris data platform. Tools like vector search are essential for enabling efficient and accurate retrieval ...