One surefire way to help clients gain more SEO traffic is to redirect valuable URLs that end up in 404s to equivalent ones. These URLs generally still get traffic, have valuable external links coming ...

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 ...

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 ...

First solution to combine dense, sparse, and image embeddings with vector search in one managed environment. Reduces latency, cuts network costs, and simplifies hybrid and multimodal search Qdrant, ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

Onehouse Inc., a company that sells a data lakehouse based on Apache Hudi as a managed service, today said it has launched a vector embedding generator to automate embedding pipelines as a part of its ...

BOULDER, Colo., Nov. 17, 2023 — IronCore Labs, a leading provider of data protection solutions for cloud applications, today announced the launch of Cloaked AI, an SDK that protects vector embeddings ...