Databricks has introduced Omnigent, a new open-source tool that acts as a meta-harness over existing AI agents such as Claude Code, Codex, or custom agents defined in YAML. Released under the Apache 2 ...

Whether you’re a solo developer looking for the best AI tool for coding to accelerate your workflow, a team lead evaluating enterprise options, or a beginner exploring the best free AI for coding ...

Databricks Lakebridge is a free, open-source toolkit developed by Databricks Labs designed to automate and accelerate migrations from legacy data warehouses and ETL platforms to Databricks SQL and the ...

The Google ADK is a capable and mostly complete framework for developing agents, with support for multiple agent types, multi-agent architectures, and multiple programming languages. The Google Agent ...

Managing a modern enterprise data landscape in 2026 is a lot like running a high-speed, global railway network. You have massive freight trains of legacy data leaving on-premise servers in Mumbai, ...

Building a RAG system can be challenging. In addition to deployment and infrastructure challenges (eg, scaling up your vector db), there are many tradeoffs and decisions to make for each component of ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

The Databricks SDK for Java includes functionality to accelerate development with Java for the Databricks Lakehouse. It covers all public Databricks REST API operations. The SDK's internal HTTP client ...