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 ...

AWS announced updates to Knowledge Bases for Amazon Bedrock, which is a new capability announced at AWS re:Invent 2023 that allows organizations to provide information from their own private data ...

Google announced a new multi-vector retrieval algorithm called MUVERA that speeds up retrieval and ranking, and improves accuracy. The algorithm can be used for search, recommender systems (like ...

“Their [vector databases] ability to efficiently store, retrieve, and contextualize data in real-time makes them more appealing for these [GenAI] applications,” said Krishna. He then divided vector ...

Loon, the new storage engine behind Milvus 3.0 and Zilliz Vector Lakebase, serves real-time search, large-scale discovery, and analytics from a single copy of vector data on low-cost object storage — ...