The proliferation of large language models and generative AI has created fertile ground for vector database technologies to flourish.

Vector databases offer a new level of capability to search unstructured, semi-structured and structured data alike.

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.

When the artificial intelligence boom began a few years ago, investors flocked to startups that helped businesses transform ...

Well-funded vector database startup Pinecone Systems Inc. today announced a serverless version of its product aimed at artificial intelligence applications. The company said the serverless ...

Vector databases, which catalog and structure data, are crucial to LLMs. Here are seven startups that are building them.

The semantic search capabilities added to the database offering include a new vector data type, vector indexes, and vector search SQL operators.

The vendor behind the open source Milvus vector database has a big cloud update designed to improve performance and reduce enterprise AI costs.