Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...

On Monday, Databricks announced it reached a $5.4 billion revenue run rate, growing 65% year-over-year, of which more than $1.4 billion was from its AI products. Co-founder and CEO Ali Ghodsi wanted ...

Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. This voice experience is generated by AI. Learn more. This ...

NVIDIA releases step-by-step guide for building multimodal document processing pipelines with Nemotron RAG, targeting enterprise AI deployments requiring precise data extraction. NVIDIA has published ...

What if you could build an AI system that not only retrieves information with pinpoint accuracy but also adapts dynamically to complex tasks? Below, The AI Automators breaks down how to create a ...

A production-ready PySpark project template with medallion architecture, Python packaging, unit tests, integration tests, CI/CD automation, Databricks Asset Bundles, and DQX data quality framework.

Databricks now has access to over $7 billion in debt, a person familiar with the matter told CNBC. Investors valued the data analytics software maker at $134 billion in a funding round announced in ...

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 says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it could expose data, governance, and budget gaps that CIOs can’t ignore.