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Multi-Source RAG System with GPT-4 Turbo, News & Academic Papers Integration

Multi-Source RAG System with GPT-4 Turbo, News & Academic Papers Integration

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

  • Web Search: Google, Bing, DuckDuckGo integration
  • Academic Papers: arXiv, PubMed, Google Scholar
  • News Articles: News API, RSS feeds, real-time news
  • Technical Documentation: GitHub, Stack Overflow, documentation sites
  • Internal Knowledge: Google Drive, Confluence, Notion integration

AI Models

  • GPT-4 Turbo: Primary language model for response generation
  • Embedding Models: For semantic search and similarity matching
  • Custom Prompts: Specialized prompts for different response styles

Set up steps

Setup time: 15-20 minutes

  1. Configure API credentials - Set up OpenAI API, ScrapeGraphAI, 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