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Fiverr Pro
English
$
USD
I will build a custom ai chatbot trained on your website documents and business, ai bot
Sarah J
About this gig
A generic chatbot cannot explain your business accurately without the right information. Your website pages, PDFs and approved documents should become a searchable source for customer answers.
I will build a custom AI chatbot with a RAG knowledge base.
It retrieves relevant information from your approved sources before creating a response, helping the chatbot stay focused on your business content.
You can get:
1. Document and website content preparation
2. Searchable RAG knowledge-base setup
3. Custom website chat interface
4. Fallback rules for missing or uncertain information
5. Lead capture or integration by package
6. Response testing, installation and documentation
My gig fits companies with service manuals, policies, help articles or internal knowledge users need to search conversationally.
You are responsible for the accuracy and permission status of supplied documents.
Results depend on source quality, and the chatbot will include a fallback for unsupported questions. Usage and hosting fees are separate.
Send sample documents, your website and intended users before ordering.
Get to know Sarah J
Sarah J
AI customer service chatbots for faster support sales leads and booking
- FromColombia
- Member sinceDec 2025
Languages
English, French, Spanish
Your website should help customers even when your team is busy or offline. I create AI customer service chatbots that answer approved questions, guide buyers, capture leads and move suitable visitors toward sales or booking. Each conversation is designed around your brand, audience and support process, with fallback messages for questions that need a person. From local services to ecommerce and SaaS, you receive a tested, easy-to-manage solution with clear scope, documentation, handover and support after delivery.
FAQ
What does RAG mean for this chatbot?
RAG allows the chatbot to retrieve relevant sections from your approved knowledge base before answering instead of depending only on general model knowledge.
Which document types can I provide?
Common text-based PDFs, documents, FAQs and web pages can usually be prepared. Scanned, protected or poorly structured files may require extra work.
Can the chatbot show where an answer came from?
Source links or references can be added when the selected platform and source structure support them. Confirm this requirement before ordering.
Can private documents be used?
Yes, but the access model, hosting and security requirements must be agreed first. Do not send confidential material before the project scope is confirmed.
Will every answer be completely accurate?
No AI system is error-free. The build includes testing, source boundaries and fallback behavior, but your team should review critical use cases.
