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

SQL files are often created under time constraints, leading to inconsistencies and errors in their structure. Over time, these issues can become problematic, especially when stricter syntax is ...

mcp-agent's vision is that MCP is all you need to build agents, and that simple patterns are more robust than complex architectures for shipping high-quality agents.