8 docs tagged with "context-layer"

Use Atlan as the governed context and metadata layer behind your own AI agents and pipelines—build a context layer, set up agent memory, monitor agents, and write an AGENTS.md file.

Atlan provides a context layer, the governed layer that connects AI agents to trusted data.

Common questions about Atlan's context layer—enterprise rollouts, memory layers, and how Atlan compares to RAG, semantic layers, and vector databases.

Build your first context layer for one domain, one team, and one AI client using Atlan connectors, context agents, and the Atlan MCP server.

Build an enterprise context layer for AI agents across multiple domains, governed for compliance, using Atlan Context Studio and the Atlan MCP server.

Build long-term memory for AI agents with Atlan context repositories and the Atlan MCP server. Covers prerequisites, MCP wiring, and validation.

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.

Learn how agent templates connect Atlan to your knowledge sources over MCP and turn what's written there into governed context, one outcome per template.