In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an ...

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 ...

What is vector search and how is it transforming the search experience? Edo Liberty, CEO of Pinecone and former head of Amazon's AI lab, explains. We’ve been talking with search industry pros and ...

Microsoft's new PostgreSQL service Azure HorizonDB is available as a public preview. It scales up to 128 TByte and 3072 vCores and includes vector search.

News flash: Vector databases and vector searches are no longer a differentiation. Yes, how fast times change as what was cool just six months ago is suddenly table stakes! What is cool is a unified ...

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable. Suppose you wanted to ...

MongoDB Inc. today said its search and vector search features that had previously been confined to its Atlas cloud platform are now available for self-managed deployments, including MongoDB Community ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

BERLIN & NEW YORK--(BUSINESS WIRE)--Qdrant, the open-source vector search engine built in Rust for production workloads, today announced $50 million in Series B funding led by AVP, with participation ...