Description

Agentic RAG AI Agent – AI Agent for Knowledge Automation, Document Querying, and Data Analysis

This n8n workflow provides a robust Agentic RAG system designed for knowledge automation and complex document querying. It seamlessly ingests documents from Google Drive, supports multiple file types, and utilizes an intelligent AI agent to answer questions by dynamically selecting the most appropriate tool for the task, whether it’s semantic search, full document analysis, or SQL queries on tabular data.

The agent overcomes limitations of standard RAG by intelligently processing diverse data types and maintaining context. It automatically ingests and processes new or updated files from Google Drive, supporting formats like PDF, DOCX, TXT, CSV, and XLSX. Data is stored in a hybrid vector and relational database (Supabase and Postgres) for efficient semantic search and precise SQL querying, ensuring accurate and context-aware answers.

What this workflow does

• Automatically ingests and processes new or updated files from Google Drive.
• Supports multiple document formats including PDF, DOCX, TXT, CSV, and XLSX.
• Creates and updates a vector knowledge base in Supabase for efficient semantic search.
• Extracts and stores tabular data in a Postgres database for precise SQL queries.
• Employs an intelligent agent that decides the best tool (RAG, SQL query, or full document retrieval) based on the user’s question.
• Provides persistent chat history and a webhook for integration with chat interfaces.
• Runs fully automated within your n8n instance, ensuring data privacy.

Best for

• Developers and data analysts building internal “chat with your data” solutions.
• Businesses seeking to create sophisticated knowledge bases handling both text and tabular data.
• Creating comprehensive knowledge engines that unlock insights from diverse data sources.
• Users needing to automate document ingestion, processing, and querying.

Requirements / Notes

• n8n environment required
• OpenAI API key required
• Google Drive credentials (OAuth) required
• Supabase and Postgres database access required

ROI – Agentic RAG AI Agent (Time & Cost)

Assumptions

• 2 hours saved per week per user
  (Reduced time spent searching for information, performing manual data analysis, and cross-referencing documents)
• Cost rate: $40/hour
• Number of users: 10 per team
  (Assuming a team of 10 individuals benefiting from the agent)

⏱️ Time Saved

• Weekly: 20 hours
• Monthly: 80 hours
• Yearly: 1,040 hours

💰 Cost Savings (USD)

• Weekly: $800
• Monthly: $3,200
• Yearly: $41,600

Bottom Line

This agent provides substantial operational efficiencies by saving over 1,000 hours annually and reducing costs by over $40,000 for a team of 10. It empowers users to access and analyze information more effectively, leading to faster decision-making and increased productivity.

Why this ROI is realistic

• Addresses the time cost of manual data searching and analysis.
• Assumes a conservative time saving per user.
• Scalable across multiple users within a team.
• Directly reduces the need for manual data handling and report generation.

What you get after purchase

• Agentic RAG AI Agent (n8n Workflow)
• Instant Download
• Lifetime Access
• Step-by-step Installation Guide (PDF)

Need help installing or customizing this AI Agent?
👉 Get professional support here → Click Here