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You will get RAG AI Agent in n8n: Smart Knowledge Base Chat with Source Retrieval
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Project details
We will build a RAG AI Agent in n8n that connects your knowledge sources and delivers accurate, context-aware answers instantly. Unlike generic chatbots, it retrieves relevant documents, cites sources, and adapts to your business knowledge, providing reliable, verifiable information.
Key benefits:
• Unified knowledge access: Combines Docs, PDFs, Notion, Confluence, websites, and databases.
• Contextual AI responses: Human-like, precise answers with references.
• Automated n8n workflows: Handles ingestion, indexing, retrieval, and feedback seamlessly.
• Continuous improvement: Learns from user feedback to refine answers.
• Traceable & credible: Each response includes source references.
This solution enables consistent, high-quality responses, reduces repetitive work, and scales as your knowledge grows, offering a smart, secure, and efficient system tailored to your organization.
Key benefits:
• Unified knowledge access: Combines Docs, PDFs, Notion, Confluence, websites, and databases.
• Contextual AI responses: Human-like, precise answers with references.
• Automated n8n workflows: Handles ingestion, indexing, retrieval, and feedback seamlessly.
• Continuous improvement: Learns from user feedback to refine answers.
• Traceable & credible: Each response includes source references.
This solution enables consistent, high-quality responses, reduces repetitive work, and scales as your knowledge grows, offering a smart, secure, and efficient system tailored to your organization.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Transformer ModelAI Applications
AI ChatbotAI Development Language
PythonAI Models
ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LLaMAWhat's included $300
These options are included with the project scope.
$300
- Delivery Time 2 days
- Number of Revisions 2
- AI Model Integration
- Natural Language Processing
- NLP Tokenization
- Prompt Engineering
Frequently asked questions
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LS
Leo S.
Jun 23, 2026
AI lead generation system
Great work!
PG
Pierluigi G.
Jan 7, 2026
Automation Expert with Experience with Bonsai
Aman was a pleasure to work with, he went above and beyond every request. Highly reccomended!
AT
Anthony T.
Dec 12, 2025
Task
About Aman
AI Automations Architect | n8n, LangChain, Make, Supabase, Claude
100%
Job Success
Lahore, Pakistan - 6:42 am local time
What I can build for you:
AI Agents and Multi-Agent Systems: Autonomous AI agents built with LangChain, OpenAI Assistants API, and n8n that can reason, retrieve data using RAG (Retrieval Augmented Generation), and take action across your tools
AI Automation Workflows: End-to-end business process automation in n8n, Make, and Zapier, combining LLM decision-making with CRM updates, email outreach, and lead generation
Chatbots and AI Assistants: Custom GPT-powered chatbots for customer support, lead qualification, and internal knowledge bases, with vector database integration using Supabase and Pinecone
CRM and Marketing Automation: HubSpot automation, GoHighLevel workflows, Airtable systems, cold email automation, and lead scoring pipelines
Custom API and Webhook Integrations: REST API development and webhook integrations connecting any SaaS platforms in your stack
Data Pipelines and Reporting: Automated data extraction, web scraping workflows, AI-powered reporting, and real-time Slack or email notifications
AI Content Generation: Large-scale content automation and programmatic website generation using Make and OpenAI
Workflow Migration and Optimization: Migrating automations between Zapier, Make, and n8n, plus fixing broken or inefficient workflows
How I work:
Scope before build: I analyze your current workflows first to identify where AI automation delivers the highest ROI
Build for production: Every system is clean, well-documented, error-handled, and easy for your team to maintain
Support after launch: I stay available for adjustments, improvements, and scaling as your business grows
With a background in Data Science and a 100% Job Success Score, I bring both technical depth and business thinking to every project.
Steps for completing your project
After purchasing the project, send requirements so Aman can start the project.
Delivery time starts when Aman receives requirements from you.
Aman works on your project following the steps below.
Revisions may occur after the delivery date.
Knowledge Ingestion & Indexing
Collect and process documents from all sources, split into chunks, create embeddings, and store in the chosen vector database.
Workflow & Retrieval Setup
We will build n8n workflows for document retrieval, reranking, and generating context-aware prompts for the LLM.