๐ŸŽฌ Enterprise knowledge search with GPT-4 Turbo, Google Drive & Academic APIs

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Description

Enterprise Knowledge Search with GPT-4 Turbo, Google Drive & Academic APIs

This workflow provides an enterprise-grade RAG (Retrieval-Augmented Generation) system that intelligently searches multiple sources and generates AI-powered responses using GPT-4 Turbo.

How it works

This workflow provides an enterprise-grade RAG (Retrieval-Augmented Generation) system that intelligently searches multiple sources and generates AI-powered responses using GPT-4 Turbo.

Key Steps

  1. Form Input - Collects user queries with customizable search scope, response style, and language preferences
  2. Intelligent Search - Routes queries to appropriate sources (web, academic papers, news, internal documents)
  3. Data Aggregation - Unifies and processes information from multiple sources with quality scoring
  4. AI Processing - Uses GPT-4 Turbo to generate context-aware, source-grounded responses
  5. Response Enhancement - Formats outputs in various styles (comprehensive, concise, technical, etc.)
  6. Multi-Channel Delivery - Delivers results via webhook, email, Slack, and optional PDF generation

Data Sources & AI Models

Search Sources

AI Models

Set up steps

Setup time: 15-20 minutes

  1. Configure API credentials - Set up OpenAI API, News API, Google Drive, and other service credentials
  2. Set up search sources - Configure academic databases, news APIs, and internal knowledge sources
  3. Connect analytics - Link Google Sheets for usage tracking and performance monitoring
  4. Configure notifications - Set up Slack channels and email templates for automated alerts
  5. Test the workflow - Run sample queries to verify all components are working correctly

Keep detailed configuration notes in sticky notes inside your workflow

๐Ÿ”— Nodes Used

HTTP Request, OpenAI, n8n Form Trigger

๐Ÿ“ฅ Import

Download workflow.json and import into n8n: Workflow menu โ†’ Import from File

๐Ÿ“– Importing guide ยท ๐Ÿ”‘ Credential setup