# Concepts - [KERN ID](https://docs.kernel.ai/concepts/kern-id.md): Kernel's entity database is anchored on a unique, persistent ID that covers every entity of every kind. - [Entity database](https://docs.kernel.ai/concepts/entity-database.md): Kernel has built the definitive entity database for humans and agents - [Public Databases](https://docs.kernel.ai/concepts/entity-database/public-databases.md): Coverage on live public database enrichment - [Entity resolution](https://docs.kernel.ai/concepts/entity-resolution.md): Kernel's proprietary entity resolution mechanism intelligently matches records in your system record with Kernel's database similarly to how a human would do it - with full context - [Corporate hierarchies](https://docs.kernel.ai/concepts/corporate-hierarchies.md): Legal-first, GTM - [Hierarchy relation taxonomy](https://docs.kernel.ai/concepts/hierarchy-relation-taxonomy.md): How Kernel labels each account's position in its corporate tree. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.kernel.ai/concepts.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.