Build Automation with n8n Flows and RAG Chatbot
Budget / Salary£375–750
TypeFreelance project
LocationRemote
Posted2 hours ago
I’m looking for a professional who can assist in building two key AI projects for my portfolio:
1. Automating P1 & P2 issue ticketing using n8n flows: This involves creating workflows that automatically generate tickets based on the severity of issues, ensuring seamless automation.
2. Creating a chatbot using RAG architecture to simplify the retrieval of KB articles for users. The solution should integrate document ingestion, semantic search, and user-friendly interactions.
Ideally, I’d like guidance or collaboration to implement these processes efficiently as part of my resume-building effort.
Hi,
Here are my requirements:
1. n8n Ticket Automation (P1/P2)
I would like an automated workflow in n8n that can receive incidents from users and automatically create tickets in Jira or ServiceNow.
Severity rules:
P1 (Critical)
Production system down
Multiple users affected
Business operations stopped
Login or application unavailable for all users
P2 (High)
Partial outage
Limited number of users affected
Workaround available
Performance degradation
The solution can use keyword analysis, predefined rules, or AI classification to determine whether the ticket is P1 or P2 before creating the ticket.
2. Ticketing Integration
The workflow should support:
Jira ticket creation
ServiceNow incident creation
Automatic priority assignment
Email or Teams notification after ticket creation
3. RAG Chatbot Requirement
I want a permanent chatbot that users can access through a web URL.
The chatbot should:
Answer questions from Knowledge Base (KB) articles
Use Retrieval Augmented Generation (RAG)
Search relevant KB articles before generating responses
Show source document references
Escalate to ticket creation if no answer is found
4. Knowledge Base Articles
The KB content may come from:
PDF documents
Jira Knowledge Base articles
ServiceNow Knowledge Base articles
Internal support documentation
For the prototype, PDF documents are acceptable.
5. Preferred Architecture
n8n for workflow automation
Jira and/or ServiceNow integration
Vector database (ChromaDB, Pinecone, or Azure AI Search)
LLM such as OpenAI GPT or Gemini
RAG implementation for document search and response generation
6. Deliverables
I need:
Working n8n workflow
Working RAG chatbot
Ticket creation integration
Source code
Deployment guide
Documentation
Demo showing end-to-end flow
1. Automating P1 & P2 issue ticketing using n8n flows: This involves creating workflows that automatically generate tickets based on the severity of issues, ensuring seamless automation.
2. Creating a chatbot using RAG architecture to simplify the retrieval of KB articles for users. The solution should integrate document ingestion, semantic search, and user-friendly interactions.
Ideally, I’d like guidance or collaboration to implement these processes efficiently as part of my resume-building effort.
Hi,
Here are my requirements:
1. n8n Ticket Automation (P1/P2)
I would like an automated workflow in n8n that can receive incidents from users and automatically create tickets in Jira or ServiceNow.
Severity rules:
P1 (Critical)
Production system down
Multiple users affected
Business operations stopped
Login or application unavailable for all users
P2 (High)
Partial outage
Limited number of users affected
Workaround available
Performance degradation
The solution can use keyword analysis, predefined rules, or AI classification to determine whether the ticket is P1 or P2 before creating the ticket.
2. Ticketing Integration
The workflow should support:
Jira ticket creation
ServiceNow incident creation
Automatic priority assignment
Email or Teams notification after ticket creation
3. RAG Chatbot Requirement
I want a permanent chatbot that users can access through a web URL.
The chatbot should:
Answer questions from Knowledge Base (KB) articles
Use Retrieval Augmented Generation (RAG)
Search relevant KB articles before generating responses
Show source document references
Escalate to ticket creation if no answer is found
4. Knowledge Base Articles
The KB content may come from:
PDF documents
Jira Knowledge Base articles
ServiceNow Knowledge Base articles
Internal support documentation
For the prototype, PDF documents are acceptable.
5. Preferred Architecture
n8n for workflow automation
Jira and/or ServiceNow integration
Vector database (ChromaDB, Pinecone, or Azure AI Search)
LLM such as OpenAI GPT or Gemini
RAG implementation for document search and response generation
6. Deliverables
I need:
Working n8n workflow
Working RAG chatbot
Ticket creation integration
Source code
Deployment guide
Documentation
Demo showing end-to-end flow
Apply on Freelancer →
Project sourced from Freelancer.com. Applications happen directly on the original platform — we never collect your data.