AI Chatbot with n8n – Document-Based Reasoning, Web Scraping & Manual Management
Budget: $30 – $250 USD
# Project Scope:
n8n Workflow Development: Build workflows that power a chatbot using n8n, enabling intelligent interaction.
Document-Based Reasoning: The chatbot must reference only internal manuals and documents to answer queries. No external data or general responses should be included.
Employee Interaction: The bot will handle requests from employees and must guide them clearly and efficiently, without open-ended or vague conversations.
Web Scraping for Product Data: Integrate scraping capabilities to extract product information from online sources or documentation, and automatically create structured entries based on those findings.
Knowledge Base Management: Implement a system that allows us to train, update, and maintain manuals and knowledge sources over time, keeping the bot’s responses accurate and relevant.
Response Behavior: The chatbot must be direct, clear, and task-focused—steering users towards solutions within their roles without unnecessary dialogue.
* Ideal Candidate:
Proven experience with n8n (especially building automation workflows and integrations).
Familiarity with AI chatbot integration, RAG (Retrieval-Augmented Generation), or vector database queries.
Solid skills in web scraping and handling structured/unstructured data.
Experience with internal knowledge management and documentation systems.
Ability to help us design a scalable solution with future improvements in mind.
This is a strategic and high-impact internal tool, so we're looking for someone who can both deliver a solid MVP and collaborate with us long-term as the system evolves.
If you have relevant experience and ideas on how to best implement this, we’d love to hear from you!
n8n Workflow Development: Build workflows that power a chatbot using n8n, enabling intelligent interaction.
Document-Based Reasoning: The chatbot must reference only internal manuals and documents to answer queries. No external data or general responses should be included.
Employee Interaction: The bot will handle requests from employees and must guide them clearly and efficiently, without open-ended or vague conversations.
Web Scraping for Product Data: Integrate scraping capabilities to extract product information from online sources or documentation, and automatically create structured entries based on those findings.
Knowledge Base Management: Implement a system that allows us to train, update, and maintain manuals and knowledge sources over time, keeping the bot’s responses accurate and relevant.
Response Behavior: The chatbot must be direct, clear, and task-focused—steering users towards solutions within their roles without unnecessary dialogue.
* Ideal Candidate:
Proven experience with n8n (especially building automation workflows and integrations).
Familiarity with AI chatbot integration, RAG (Retrieval-Augmented Generation), or vector database queries.
Solid skills in web scraping and handling structured/unstructured data.
Experience with internal knowledge management and documentation systems.
Ability to help us design a scalable solution with future improvements in mind.
This is a strategic and high-impact internal tool, so we're looking for someone who can both deliver a solid MVP and collaborate with us long-term as the system evolves.
If you have relevant experience and ideas on how to best implement this, we’d love to hear from you!