An embedding is a representation of a data record in a high-dimensional vector space. They allow the LLM model to convert discrete data into a format that can be further processed by the LLM ...

Vector database pioneer is looking to dramatically improve enterprise AI accuracy with cascading retrieval innovations.

The Dutch startup is best known for its open-source vector database, which is geared to AI development. It’s designed to ...

Couchbase integrates model serving, vectorization, agent catalog and enterprise AI function calling into its cloud database platform to help enterprises overcome deployment challenges.

Redwood Shores, California-based Zilliz is backed by more than $110 million in funding. It offers an open-source vector ...

As an AI infrastructure company that now provides a platform for inference, retrieval and knowledge base management, Pinecone ...

CubeSatGPT™ enables anyone to communicate with satellites and their payloads launched by Vector Space Biosciences. 50+ Waterbears (Tardigrades) will b ...

Pinecone, a leading knowledge platform for building accurate and scalable AI applications, has announced the integration of ...

Data truly isn’t just about numbers ... valuable insights but in different formats. By using vector embeddings, a machine learning model can convert all this information into a unified format ...