Agent Applications in Advertising at JD.com: Technical Implementation and Platform Architecture

This document details JD.com's implementation of Agent technology in advertising, focusing on AI-driven automation for customer service and data analysis. It includes technical sections on RAG (Retrieval-Augmented Generation) for knowledge retrieval, Function Call capabilities for data queries, and platform architecture for scalable AI solutions. The content covers practical applications in advertising investment, monitoring, and customer support, with detailed technical workflows and system diagrams.

Key components include knowledge base construction using vector databases, function call mechanisms for executing business logic, and platform design for agent development. The article also discusses optimization strategies for model accuracy, tool integration, and future directions for AI adoption in advertising.

Code examples are preserved in ... tags, showing JSON structures for tool definitions and prompt engineering techniques. The document emphasizes practical implementation over theoretical concepts, with case studies on improving advertising efficiency and customer satisfaction through AI agents.