RAG Agent for Interactive File-Based Chat

💡 What is This?

A plug-and-play Retrieval-Augmented Generation (RAG) AI workflow that enables users to chat with their documents (PDFs, SOPs, manuals) and get context-aware answers — instantly.

This is ideal for support desks, HR, educators, lawyers, or any knowledge-driven team that handles large documents and wants to reduce response time, improve accuracy, and automate Q&A.

⚙️ Tech Stack Used:

• ✅ n8n (Free No-Code Automation)
• ✅ Google Drive Integration (File Upload & Management)
• ✅ Gemini (for Vector Embeddings)
• ✅ OpenAI/Gemini Chat Models
• ✅ Simple Vector Store + Memory System

🧠 Key Features:

• Upload PDFs to Google Drive
• Automatically chunk + embed content using Gemini
• Store embeddings in a simple vector store
• Ask questions in natural language — get relevant document-based answers
• Memory system remembers conversation history
• Handles large files, error conditions, and document refresh

🔄 How It Works (Flow Overview):

1. PDF uploaded to Google Drive
2. File auto-downloaded via n8n
3. Parsed → Split → Embedded into vector format
4. Stored in Simple Vector Store
5. AI agent chats with the user using vector + memory context
6. User receives a smart, sourced response

🧪 What You Get (Download Package):

• ✅ n8n Workflow JSON File (Import-ready)
• ✅ Documentation (PDF)

🧩 Perfect For:

• Customer Support Teams
• HR Teams (Policy Queries)
• Legal/Compliance Teams
• Teachers/Coaches
• Consultants and Agencies

💰 Pricing Suggestion:

( offer a free starter version with limited/ Basic features.)

📞 Contact & Learn More

• 🌐 Website:www.thinknlink.in
• 📸 Instagram:instagram.com/thinknlink.in
• ▶️ YouTube:Yashraj | AI Solution - Thinknlink Channel

Let’s automate your business!