When you browse products on an e-commerce site, sections like 'Similar Products' or 'Recommended for you' appear. Behind that ...

When designing search systems, the decision to use keyword-based search, vector-based search, or a hybrid approach can significantly impact performance, relevance, and user satisfaction. Each method ...

Vector search, sometimes referred to as vector similarity search, is a technique that uses vectors -- numerical representations of data -- as the basis to conduct searches and identify relevance. A ...

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

Vector search is nothing new. Its role as a critical data management capability, however, is a recent development due to the way it enables discovering data needed to inform generative AI models.

"I made internal documents searchable via RAG, but when I ask 'What problems have been recurring over the last six months?', it gives me irrelevant answers." If you have ever built a knowledge search ...