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

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.

Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

Data strategy competitive advantage depends on a proprietary knowledge base of internal and external data powering predictive models.

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

AI can build shockingly complex apps, but only if you use the right prompts. I take you through everything you need to know.

The company’s latest product brings vibe-coding to the data layer of enterprise data systems. AI coding agents have become ...

Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...

One of the key aspects of No Rest for the Wicked is the ability to create complex builds using the game's attribute system combined with various types of weapons and armor. Thanks to this, you can ...