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Library / RAG & Knowledge Bases

RAG & Knowledge Bases

Rewrite Slack IT questions into search keywords with OpenAI for knowledge base lookup

Called by the IT Department Q&A workflow, it uses OpenAI GPT-4 to turn user questions into search keywords and retrieve matching knowledge base answers. Runs each time the parent workflow passes a query.

What it does

![n8n]({{ $env.WEBHOOK_URL }} ## Enhance Query Resolution with the Knowledge Base Tool! Our Knowledge Base Tool is crafted to seamlessly integrate into the IT Department Q&A Workflow, enhancing the IT support process by enabling sophisticated search and response capabilities via Slack. Workflow Functionality: - Receive Queries: Directly accepts user queries from the main workflow, initiating a dynamic search process. - AI-Powered Query Transformation: Utilizes OpenAI's GPT-4 to refine user queries into searchable keywords that are most likely to retrieve relevant information from the Knowledge Base. - Confluence Integration: Executes searches within Confluence using the refined keywords to find the most applicable articles and information. - Deliver Accurate Responses: Gathers essential details from the Confluence results, including article titles, links, and summaries, preparing them to be sent back to the parent workflow for final user response. Quick Setup Guide: - Ensure correct configurations are set for OpenAI and Confluence API integrations. - Customize query transformation logic as per your specific Knowledge Base structure to improve search accuracy. Need Help? - Dive into our [Documentation]({{ $env.WEBHOOK_URL }} or get support from the [Community Forum]({{ $env.WEBHOOK_URL }} Deploy this tool to provide precise and informative responses, significantly boosting the efficiency and reliability of your IT support workflow.

The steps

  1. Execute Workflow Trigger
  2. Query Confluence
  3. Return Tool Response

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