Browse categories
Explore
Fiverr Pro
English
$
USD
I will build an ai chatbot for your pdfs, documents, and business data
chandran Tp
_x3ujx8.jpg)
_x3ujx8.jpg)
About this gig
Turn your documents and business data into an intelligent AI assistant!
I will build a custom AI chatbot that understands your knowledge base and delivers accurate, context-aware answers based on your data.
Have PDFs, company documents, FAQs, manuals, or other business information? I can transform them into an interactive AI-powered knowledge assistant that helps users quickly find the information they need.
What you'll get:
- Custom RAG chatbot development
- PDF & document-based Q&A
- AI/LLM integration
- LangChain-powered retrieval
- Vector database & semantic search
- FastAPI backend integration
- Custom knowledge base
- Clean, organized source code
Technologies: Python, FastAPI, LangChain, ChromaDB, LLMs, RAG & embeddings.
I have hands-on experience building full-stack RAG systems with document ingestion, semantic search, REST APIs and context-aware AI responses.
Please message me before ordering complex integrations or custom requirements.
Have an AI idea? Let's build the right solution for your bussiness.
Get to know chandran Tp
chandran Tp
AI Automation and RAG Developer I Python and FastAPI
- FromIndia
- Member sinceJan 2026
- Last delivery9 months
Languages
English
I’m an AI & Python developer passionate about building practical AI solutions that solve real-world problems. I specialize in RAG chatbots, AI automation, LLM integration, and intelligent applications using Python, FastAPI, LangChain, vector databases, and machine learning. From AI assistants that understand your documents and business data to automated workflows and custom AI integrations, I focus on building reliable, efficient solutions tailored to your needs. Have an AI idea? Let’s turn it into a working solution.
My Portfolio
FAQ
1. What type of data can the RAG chatbot use?
The chatbot can work with PDFs, text documents, FAQs, manuals, knowledge bases, and other structured business information. Message me if you have a different data source so I can confirm compatibility.
2. What technologies will you use?
Depending on your requirements, I can use Python, FastAPI, LangChain, ChromaDB/vector databases, embeddings, and suitable LLM APIs or models to build the RAG system.
3. Can the chatbot answer questions only from my documents?
Yes. The RAG system retrieves relevant information from your provided knowledge base and uses it as context to generate answers, helping keep responses grounded in your data.
4. Can you integrate the chatbot with my website or database?
Yes. Website and database integration can be provided depending on your package and requirements. Please contact me before ordering if you need a custom or complex integration.
5. Do I need to contact you before ordering?
For a simple document-based chatbot, you can choose the appropriate package directly. For custom features, large datasets, authentication, database integration, or other advanced requirements, please message me first.
