Category: vector database

Specifically, Gleen has created proprietary AI and machine learning (ML) layer independent of the LLM the enterprise customer wants to deploy.

Rockset finds that applications need real-time indexing on vector embeddings as well as on traditional databases.

The addition of vectors provides context to the graph database for enhanced search and supports generative AI and large language models.

Redis is introducing a 'unified release' to make products easier for users to adopt and effectively use and manage their data.

The new vuln_GPT from Vicarius is a LLM designed to find and create scripts for vulnerability management and remediation via simple queries.

The research affirms that large language models are best used to generate content, and search engines are best at curating content. 

Astra DB vector support further extends DataStax's AI/ML capabilities, helping make generative AI a reality for enterprise users.

Aerospike is expanding its database capabilities with its Aerospike Graph database, which brings graph data model capabilities.

Dremio has announced new generative AI tools for its data lakehouse, including a new text-to-SQL editor for conversational querying of data.

A new partnership will directly integrate Typeface with Google Workspace to support specific enterprise generative AI use cases.