Today Databricks announced new retrieval augmented generation (RAG) tooling for its Data Intelligence Platform to help customers build, deploy and maintain high-quality large language model (LLM) apps ...

Databricks on Wednesday unveiled new features designed to enable enterprise customers to securely and cost-effectively develop generative AI models and applications that deliver high-quality outputs.

With the new Databricks Apps partners and customers can rapidly build and deploy native applications for the Databricks Data Intelligence Platform that tap into the system’s data and leverages its ...

A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used ...

Databricks unveiled a new portfolio aimed at helping users customize generative AI applications with their own data through retrieval-augmented generation. Retrieval-augmented generation (RAG) is an ...

Scale Databricks Apps from design to production: set latency targets, keep state recoverable, load test, and size instances, ...

Startup Securiti Inc. and Databricks Inc. today announced a partnership focused on helping joint customers develop artificial intelligence applications. The collaboration will see Securiti integrate ...

Join data management experts from Informatica and Databricks to discover how to get your data ready for artificial intelligence (AI) and scale your pilots to production with a trusted data foundation.