Advanced RAG Content Generation Workflow

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This workflow orchestrates a comprehensive retrieval and content generation process using a sophisticated RAG (Retrieval-Augmented Generation) system integrated with WordPress. It begins with an advanced form for user input, validates and preprocesses the query, routes it to appropriate search sources (web, academic, news, or internal docs), aggregates and analyzes the search results, constructs a detailed context, and utilizes GPT-4 Turbo to generate grounded, style-customized responses. The process concludes by formatting the output into various formats such as markdown, HTML, or JSON for immediate delivery via a webhook, enabling intelligent content creation, research, and knowledge management.

Node Count

11 – 20 Nodes

Nodes Used

code, formTrigger, googleDriveSearch, httpRequest, if, openAi, respondToWebhook, stickyNote, webSearch

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