8 docs tagged with "concepts"

Understand what AGENTS.md is, which AI coding agents support it, and why keeping it short produces better agent outcomes than exhaustive files.

Understand why monitoring production AI agents requires two complementary layers, and how Atlan's data-side observability complements LLM observability tools.

Understand what a context layer is, how MCP fits into the delivery model, and what changes when you build one at enterprise scale.

Understand how the AI Application Risk Classifier evaluates AI Application metadata based on the EU AI Act framework.

Understand how Atlan builds lineage for Tableau assets, the current traversal path, and why Workbooks no longer appear as lineage nodes.

Understand how a memory layer maps to Atlan's architecture, and how context repositories and the Atlan MCP server compare to vector databases and RAG.

Understand how limiting rules to the most recent day of data improves monitoring results in Atlan.

Understand how Informatica Cloud Data Integration transformation logic and business rules are discovered and cataloged in Atlan