> For the complete documentation index, see [llms.txt](https://developer.emporix.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence.md). # Agentic Intelligence - [Agentic AI](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/agentic.md): Simplify your business operations and unlock greater efficiency with the Emporix Agentic AI. - [AI Agents Configuration](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/configuration.md): Learn what configuration is necessary and beneficial to build your custom agents in the Emporix Agentic AI. - [AI Tokens](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/configuration/tokens.md): Configure AI tokens to enable secure communication with third-party AI providers. - [AI OAuth-Based Gateway](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/configuration/oauth-gateway.md): Configure AI gateway access and OAuth-based authentication for custom LLMs. - [AI Tools](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/configuration/tools.md): Define and manage the external tools that the AI agents might integrate with. - [Communication Tools Configuration](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/configuration/tools/comm-tools.md): Understand how communication tools are configured per tenant and how agents use them for outbound and inbound collaboration. - [Slack AI Tool](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/configuration/tools/comm-tools/slack.md): Use the Slack tool within AI agents to foster agent collaboration. - [MS Teams AI Tool](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/configuration/tools/comm-tools/ms-teams.md): Use the MS Teams tool within custom AI agents to collaborate with users in Microsoft Teams without leaving their workspace. - [RAG AI Tool](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/configuration/tools/rag.md): RAG AI Tools allow agents to perform LLM-based semantic search. - [RAG Emporix Tool](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/configuration/tools/rag/rag-emporix.md): Configure the RAG Emporix tool to index and retrieve products, orders, and custom entities with the native Emporix Vector Database. - [RAG Custom Tool](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/configuration/tools/rag/rag-custom.md): Configure the RAG Custom tool to perform semantic search against an external vector database such as Qdrant. - [AI MCPs](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/configuration/custom-mcp.md): Extend the Emporix Agentic AI capabilities with external MCP servers. - [AI Agents](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/agents.md): AI Agents can transform ecommerce operations by enabling intelligent automation. - [AI Agent Library](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/agent-library.md): Make use of the predefined agents available out-of-the-box. - [Anti-Fraud Agent](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/agent-library/anti-fraud-agent.md): The Anti-Fraud agent is a prebuilt, ready-to-use solution designed to enhance the security and efficiency of your e-commerce operations. - [Complaint Agent](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/agent-library/complaint-agent.md): The Complaint Agent is designed to streamline how customer complaints are handled. - [Frontend Agent](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/agent-library/frontend-agent.md): The Frontend Agent is a predefined agent you can attach to your commerce frontend to assist your customers. - [Support Agent](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/agent-library/support-agent.md): The Support Agent helps you handle customer requests and general inquiries through collaboration with internal teams. - [Translation Agent](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/agent-library/translation-agent.md): The Translation Agent is a generic agent responsible for data translation. - [Agentic Filters Creator Assistant](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/agent-library/filters-agent.md): The Agentic Filters Creator Assistant assists in creating commerce event filters for triggering other agents. - [Agentic JSON Schema Assistant](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/agent-library/json-schema-agent.md): The Agentic JSON Schema Assistant helps you generate JSON Schema definitions for the Output Format field when configuring custom AI agents. - [Agentic Log Analysis Assistant](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/agent-library/log-analysis-agent.md): The Agentic Log Analysis Assistant investigates agentic request logs to detect runtime failures, identify root causes, and answer follow-up questions. - [AI Agent Import/Export](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/agent-import-export.md): Easily transfer AI Agents using the Import and Export functionality. - [AI Logs](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/logs.md): Check the logs related to the workings of your AI Agents. - [AI Best Practices](https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence/best-practices.md): Get up to speed with AI functionalities by learning the best practices and Emporix recommendations. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://developer.emporix.io/agentic-commerce-intelligence/agentic-intelligence.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.