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