Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Databricks says Instructed Retrieval outperforms RAG and could move AI pilots to production faster, but analysts warn it ...

Databricks Inc. today announced several enhancements to its Mosaic AI toolset for building and deploying artificial intelligence models that specifically target generative AI applications. The ...

Data analytics company Databricks says its mission is to deliver data intelligence to every enterprise by allowing organizations to understand and use their unique data to build their own AI systems.

Databricks Inc. today announced a series of updates to its flagship artificial intelligence product, Agent Bricks, aimed at improving governance, accuracy and model flexibility for enterprise AI ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Informatica (NYSE: INFA), an enterprise cloud data management leader, today announced an expanded partnership with Databricks with new product capabilities and ...

Data and artificial intelligence (AI) company Databricks has unveiled DBRX, a general-purpose large language model (LLM) that it claims can outperform other open source models. The company said DBRX ...

SAN FRANCISCO, Calif., June 12, 2024 – Databricks, the Data and AI company, today announced several innovations to Mosaic AI to help customers build production-quality Generative AI applications.

Retrieval augmented generation, or 'RAG' for short, creates a more customized and accurate generative AI model that can greatly reduce anomalies such as hallucinations. As more organizations turn to ...

Databricks, a leading data and AI startup, launched DBRX, a flexible large language model (LLM) that outperforms all open-source models on industry benchmarks. DBRX democratizes the training and ...

Here's the simple 30 second definition, A deeper dive will follow. RAG (Retrieval Augmented Generation) is the buzziest word on the GenAI internet right now, more jargon to confuse the uninitiated.