大模型赋能投研之十一:Dify:全自动投研工作流可视化构建

Group 1: Dify Overview - Dify is a specialized workflow application development tool designed to address the challenges of implementing large models in financial research, such as long processing times and high data dependency[2]. - Dify offers high flexibility, modularity, and low-code features, significantly improving efficiency compared to previous frameworks like LangChain[2]. - Dify allows integration with specialized knowledge bases like RAGFlow, enhancing its application capabilities[2]. Group 2: Key Features - Dify supports diverse tool sources, enabling users to connect various tools, including custom-built workflows, enhancing reusability[3]. - The platform allows for low-code application development, making it accessible for non-technical users to build complex workflows[3]. - Dify's Agent feature enables models to actively engage in tasks, such as querying databases or retrieving information, rather than just generating text[53]. Group 3: Application Cases - The "Time Extraction" tool can automatically identify and resolve ambiguous time references in user queries, enhancing data accuracy[4]. - A specialized "Financial Analyst" Agent categorizes user inquiries into stock, industry, concept, or macroeconomic questions, facilitating targeted analysis[4]. - The "Geographic Information Retrieval" Agent can locate addresses in annual reports and search for nearby relevant locations, showcasing Dify's integration capabilities[4]. Group 4: Competitive Advantage - Compared to competitors like FastGPT and Coze, Dify offers a more flexible and customizable platform, suitable for users with specific needs in workflow and knowledge base integration[26]. - Dify's knowledge base supports various data sources and allows for structured processing, enhancing the accuracy and relevance of responses[27].