This capability is crucial for AI applications that require a deep understanding of unstructured data. Vector databases are transforming how unstructured data is managed and used across various ...

"It sits between your application and whatever LLMs you're using ... Roxane Edjlali, senior director analyst at Gartner, said ...

AI applications and LLMs need fast access to data, fueling the demand for vector databases that index and store “vector embeddings” for rapid data retrieval. Pinecone’s vector database ...

Redis also introduced vector sets, a new native data type in Redis written by Redis’ creator, Salvatore Sanfilippo. Vector sets allow developers to easily access and work with vectors and use them in ...

The system processes huge amounts of vector data within Teradata’s hybrid ... Retriever will improve retrieval-augmented generation applications and AI-driven insights. The solution brings ...

ensuring that their applications, data, vector databases, and even models are as secure and resilient as other business-critical data. Data Intelligence: Leveraging data protected by Veeam for AI ...