n8n Workflow Optimization
Budget: €30 – €250 EUR
We’re looking for an experienced n8n specialist to finalize our chatbot workflow. The bot uses a Next.js API (deployed on Vercel) with MongoDB for user profiles and chat memory. Currently, the flow gets stuck in a profile loop and doesn’t persist sessions correctly.
Tasks
Configure HTTP Request Nodes
Set up getUserProfile & createUserProfile as POST calls using email as the key
Ensure raw‑body JSON is correctly formatted
Implement Session‑ID Handling via an “Edit Fields (Set)” node
Extract sessionId from the API response
Feed it into the MongoDB Chat Memory node as the session key
Set Up Chat Memory Node
Target MongoDB collection chat_memory, database Foodcoach
Use a context window length of 5 messages
Configure the Agent Node (“Your First AI Agent”)
Update the system prompt to include explicit <<…>> tool calls
Point the Memory setting to the Chat Memory node
Map tools to the correct HTTP‑request nodes
Testing & Documentation
End‑to‑end test: profile creation, chat memory persistence, 7‑day meal plan flow
Deliver a brief documentation of node configurations and settings
Requirements
Deep expertise in building and troubleshooting n8n workflows
Experience with HTTP Request nodes and raw JSON bodies
Familiarity with Next.js (Serverless API routes) and MongoDB
Understanding of chat‑memory concepts in conversational bots
Fluent English (written)
Timeline & Budget
Duration: Approximately 1–2 days
Budget: Please provide your hourly rate or flat‑fee proposal
To Apply
Reply with:
Examples of past n8n projects
Your proposal (hours/day or flat price)
Earliest start date
We look forward to your application!
Tasks
Configure HTTP Request Nodes
Set up getUserProfile & createUserProfile as POST calls using email as the key
Ensure raw‑body JSON is correctly formatted
Implement Session‑ID Handling via an “Edit Fields (Set)” node
Extract sessionId from the API response
Feed it into the MongoDB Chat Memory node as the session key
Set Up Chat Memory Node
Target MongoDB collection chat_memory, database Foodcoach
Use a context window length of 5 messages
Configure the Agent Node (“Your First AI Agent”)
Update the system prompt to include explicit <<…>> tool calls
Point the Memory setting to the Chat Memory node
Map tools to the correct HTTP‑request nodes
Testing & Documentation
End‑to‑end test: profile creation, chat memory persistence, 7‑day meal plan flow
Deliver a brief documentation of node configurations and settings
Requirements
Deep expertise in building and troubleshooting n8n workflows
Experience with HTTP Request nodes and raw JSON bodies
Familiarity with Next.js (Serverless API routes) and MongoDB
Understanding of chat‑memory concepts in conversational bots
Fluent English (written)
Timeline & Budget
Duration: Approximately 1–2 days
Budget: Please provide your hourly rate or flat‑fee proposal
To Apply
Reply with:
Examples of past n8n projects
Your proposal (hours/day or flat price)
Earliest start date
We look forward to your application!
Related categories:
Data Processing
MongoDB
Data Analysis
Data Integration
Data Governance
Chatbot
API Integration
Data Management
Next.js
n8n