Build an OpenAI Assistant with Google Drive Integration

This workflow can automatically receive research topics submitted by users and utilize Perplexity AI for in-depth information retrieval and content generation. Through a multi-step AI model processing, the workflow structures the research results and converts them into modern, responsive HTML webpages, beautified with Tailwind CSS. This process achieves full automation from topic research to webpage presentation, making it particularly suitable for content creators and researchers to quickly generate professional webpages, enhance work efficiency, and simplify the information integration and design process.

This intelligent dialogue agent workflow combines advanced language models with information retrieval tools, featuring contextual memory capabilities that allow it to respond to user chat messages in real time. By retaining recent conversation records and accessing external data sources, the workflow effectively addresses the issues of inaccurate responses and outdated information commonly found in traditional chatbots. It is suitable for various scenarios such as customer service, intelligent Q&A systems, and educational tutoring, enhancing the coherence and richness of conversations while providing users with a high-quality intelligent interaction experience.

This workflow implements an intelligent email Q&A bot that allows users to interact with it via Telegram for quick inquiries about their personal emails. It combines semantic search with structured SQL queries, enabling it to understand natural language questions and accurately locate email content and time information, thereby providing precise answers. This system is particularly suitable for individuals and businesses that require efficient email management, enhancing the intelligence and convenience of email queries.

This workflow utilizes RAG technology to automatically process and analyze the quarterly financial reports of publicly listed companies in PDF format, generating structured financial analysis reports. It accurately extracts key information through semantic retrieval and large language models, intelligently generating detailed reports that include content such as revenue, costs, and profits, which are then automatically saved to Google Docs. This process significantly enhances the efficiency and accuracy of financial data insights, helping investment analysts, financial advisors, and others quickly obtain in-depth analysis results.

This workflow implements an intelligent chatbot based on voice interaction, integrating advanced speech synthesis, recognition technologies, and powerful language models. Users can ask questions via voice, and the system can retrieve relevant knowledge from the database in real-time and generate accurate, natural voice responses, significantly enhancing the accuracy and professionalism of voice Q&A. It is suitable for scenarios such as enterprise customer service, virtual shopping assistants, and knowledge base assistants, providing users with a convenient information retrieval experience.

This workflow automatically identifies and extracts key parameters from OAuth2 authentication configurations, such as authorization URI, token URI, and audience information, using a powerful AI language model. It incorporates a confidence scoring mechanism to help users assess the reliability of the data. This significantly enhances the efficiency and accuracy of OAuth2 setup, addressing the complexity and error-proneness of manual querying processes. It is suitable for developers, IT operations personnel, and API integration platform managers, optimizing the process of obtaining OAuth2 authentication parameters.

This workflow provides an intelligent phone agent solution that can automatically record and transcribe calls, extract call summaries, and utilize advanced AI technology for knowledge base Q&A. It supports automatic scheduling of customer appointments, streamlining the manual scheduling process and enhancing the efficiency of phone customer service and sales teams. This system can analyze call content in real-time, ensuring that key information is not overlooked, making it suitable for various types of businesses and improving the quality and responsiveness of customer service.

This workflow integrates Tavily's search and content extraction API with OpenAI's language model to achieve intelligent web information retrieval and content summarization. Users can input a topic in the chat window, and the system automatically filters highly relevant search results and extracts webpage content, ultimately generating a structured summary. This process addresses the issues of information overload and lack of structure found in traditional search methods, making it suitable for various scenarios such as research, business decision-making, and content creation, thereby enhancing the efficiency and quality of information acquisition.