Enterprise context starts with indexing, but it doesn’t end there
Jul 28, 2026

Summary
This post expands on the 'Agent Orchestration Platform' by detailing the technical components that constitute Glean's 'system of context' beyond just indexing. It introduces specialized indexing strategies (semantic, lexical, structured) for different data types, the role of the Enterprise Graph in mapping relationships, the function of Memory for persistent learning, the flexibility of Data Connectors for varied data sources, and the necessity of Tools for AI action. It highlights how these elements synergize to provide AI with a deeper understanding of the enterprise, improving accuracy, latency, and token efficiency.
More from the Agent Orchestration Platform trail
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- From enterprise search to enterprise context: what AI agents actually need
- Scale AI usage without runaway spend with Glean’s AI usage controls
- Glean Agents can now work independently, build faster, and stay governed at scale
- Glean expands horizontal, agent platform with open agent interoperability, dozens of personal and business agents, and comprehensive AI security