Pinecone's vector database goes serverless - SiliconANGLEWell-funded vector database startup Pinecone Systems Inc. today announced a serverless version of its product aimed at artificial ...

Vector databases serve as a sort of long-term memory for LLMs, such as OpenAI ’s GPT-4 and Llama from Meta. By storing and indexing the mathematical representations of pieces of text trained by the ...

When Pinecone launched a vector database aimed at data scientists in 2021, it was probably ahead of its time. But as the use cases began to take shape last year, the company began pushing AI ...

Established in 2017, Zilliz develops vector database management systems for AI applications, including the management and processing of feature vectors for AI algorithms used to represent the deep ...

Vector databases store and retrieve unstructured data (e.g., images, text, audio) using vector embeddings, allowing semantic search and bridging the “semantic gap” between human and machine ...

Although vector databases have been around for decades, their application was limited. Forrester estimates the current adoption rate of vector databases at 6%, with a projected surge to 18% over ...

There is no universal ‘best’ vector database—the choice depends on your needs. Evaluating scalability, functionality, performance, and compatibility with your use cases is vital.