You will get RAG Implementation using N8N
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Project details
The “RAG Implementation using N8N” project delivers a complete AI-driven automation solution designed to improve knowledge retrieval and response accuracy for customer support or internal documentation systems. Using n8n, Vector Databases, and OpenAI/Claude, this project integrates Retrieval-Augmented Generation (RAG) to reduce response times by up to 60%.
The system connects your knowledge base with intelligent AI query handling, enabling users to receive accurate and contextual answers instantly. Depending on the selected tier, the setup includes everything from basic model integration and vector DB connection to advanced MLOps, monitoring, and multi-model orchestration.
Deliverables include a fully functional n8n workflow, configuration setup, and workflow documentation with screenshots. Ideal for SaaS, customer support, or knowledge management platforms, this project ensures scalability, accuracy, and automation efficiency.
Whether you’re a startup launching AI automation or an enterprise optimizing existing workflows, this RAG solution offers end-to-end setup and deployment tailored to your business needs.
The system connects your knowledge base with intelligent AI query handling, enabling users to receive accurate and contextual answers instantly. Depending on the selected tier, the setup includes everything from basic model integration and vector DB connection to advanced MLOps, monitoring, and multi-model orchestration.
Deliverables include a fully functional n8n workflow, configuration setup, and workflow documentation with screenshots. Ideal for SaaS, customer support, or knowledge management platforms, this project ensures scalability, accuracy, and automation efficiency.
Whether you’re a startup launching AI automation or an enterprise optimizing existing workflows, this RAG solution offers end-to-end setup and deployment tailored to your business needs.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI ChatbotAI Models
ChatGPT, GPT-3What's included $250
These options are included with the project scope.
$250
- Delivery Time 7 days
Frequently asked questions
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SM
Sean M.
Jan 21, 2026
WP Coding / Error Corrections using MCP (Claud or ChatGPT)
JF
James F.
Dec 20, 2025
set up and connect MCP - GA4 and google ads
About Ashwini
Claude Code Expert | Make & n8n | MCP, AI Integration & Automation
100%
Job Success
Pune, India - 7:55 am local time
I build intelligent automations powered by Claude that eliminate repetitive work, connect your tools, and give your team 20+ hours back every week.
What I Deliver
Claude Code & Anthropic Workflows - Custom Claude-powered agents, Claude Projects setup, Claude Code training, and end-to-end automation pipelines using the Anthropic API
MCP Server Development - Hosted and custom MCP servers connecting Claude to your stack (CRMs, e-commerce, internal APIs). Published servers: Jenkins MCP, Method CRM MCP, CustomJS MCP
Make Automation - Complex multi-step scenarios, error handling, webhooks, and Zapier-to-Make migrations done right (with logic flaws fixed, not ported)
n8n Workflows - Self-hosted setups, RAG pipelines, and AI-agent orchestration
Google Sheets & Data Automation - Auto-sync, live dashboards, real-time triggers
Shopify & E-commerce Workflows - Order processing, inventory sync, customer messaging
WordPress & Content Automation - AI-powered publishing, SEO tagging, cross-posting
Google / Meta Ads Reporting - Auto-generated dashboards & ROI insights
Advanced Capabilities
Claude-powered document processing and decision-making pipelines
RAG (Retrieval-Augmented Generation) for smart document retrieval
Custom API, GraphQL & Webhook integrations
LLM-powered automations using Claude and GPT-4 for contextual logic
Recent Wins
Built and published 3 production MCP servers used in live Claude workflows
Saved 15 hrs/week with fully automated Meta + Google Ads reporting
Boosted content output 3x via AI-driven WordPress automation
Built RAG knowledge retrieval with n8n improving response accuracy by 90%
I help SaaS startups and scaling e-commerce teams get enterprise-grade Claude automation without enterprise pricing.
Availability: 30+ hrs/week (projects or long-term optimization)
Let's discuss which 20 hours/week I can give back to your team.
Steps for completing your project
After purchasing the project, send requirements so Ashwini can start the project.
Delivery time starts when Ashwini receives requirements from you.
Ashwini works on your project following the steps below.
Revisions may occur after the delivery date.
Project setup and environment configuration.
I configure n8n, connect APIs, and set up the vector database for data ingestion.
RAG workflow development.
Implement AI model integration with retrieval logic, query handling, and response generation workflow.