# Overview **GLChat** is an **enterprise-grade Agentic AI chatbot platform** built with a **privacy-first design**, offering organizations the flexibility to deploy secure, white-labeled AI assistants across web, mobile, and on-premise environments. It seamlessly integrates with existing enterprise systems, enabling a unified ecosystem where chat interfaces, administrative tools, and developer APIs work together to deliver intelligent, scalable, and branded conversational experiences. The platform is composed of three core components that serve different user roles and technical needs: * The **GLChat Project User Interface (UI)** — the primary interface for end users to interact with AI Agents, knowledge bases, and enterprise workflows. * The **Admin Dashboard** — the centralized control panel for administrators to configure, monitor, and manage the GLChat environment. * The **GLChat SDK** — a comprehensive set of APIs, language bindings, and documentation for developers to integrate GLChat capabilities directly into their projects or custom workflows. Together, these components form a cohesive system that supports organizations throughout the full lifecycle of AI deployment—from configuration and integration to live interaction and continuous improvement. --- # 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://gdplabs.gitbook.io/glchat/overview.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.