How Does Glean AI Work?
The platform is built on four technical layers that together make search intelligent rather than mechanical:
Smart Connectors
Glean connects to your existing tools through pre-built connectors, continuously crawling and indexing content in real time as documents are created, edited, or deleted. No data migration required.
Enterprise Knowledge Graph
Rather than storing raw files, Glean builds a living relationship map of your organization, understanding how people, documents, projects, and teams connect. A search for a project name surfaces related meetings, messages, files, and decisions, not just documents with that exact name.
Permission-Aware Processing
Every indexed piece of content retains its original access controls. Glean only returns results that an employee is already authorized to view in the source system. Confidential HR files will never appear in a sales employee's search results.
LLM-Powered Answer Generation
Glean uses Retrieval-Augmented Generation (RAG) to compose answers. It first retrieves relevant internal documents, then generates a response grounded in those sources. It supports 15+ large language models from Amazon Bedrock, Azure OpenAI, and Google Vertex, giving your organization flexibility over which AI model it uses.