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I will build a rag ai chatbot with your documents and knowledge base
Rehan Ahmad
About this gig
Need an AI chatbot that can understand your documents and answer questions accurately?
I will build a custom RAG (Retrieval-Augmented Generation) chatbot that connects an AI model to your documents, website, or business knowledge base.
What I can build:
PDF and document Q&A chatbots
Business knowledge-base assistants
Website knowledge chatbots
Customer support knowledge bots
Multi-document AI search
Semantic/vector search systems
AI chatbots with source citations
Custom RAG APIs and integrations
Your chatbot can retrieve relevant information from your data, generate grounded answers, and provide sources for better transparency.
I can work with documents, websites, databases, APIs, and other structured or unstructured data sources depending on your requirements.
You will receive:
Custom RAG pipeline
AI model integration
Document/data processing
Retrieval system
Source code
Testing and basic documentation
Please message me before ordering if you need a complex knowledge base, multiple integrations, or a large-scale RAG system so I can confirm the scope.
Get to know Rehan Ahmad
Rehan Ahmad
AI ML Engineer and Full Stack Developer
- FromPakistan
- Member sinceFeb 2024
Languages
Urdu, English
Hi, I'm Rehan, an AI ML Engineer and Full Stack Developer who enjoys building practical solutions that solve real problems. I work on AI chatbots, RAG systems, AI agents, voice assistants, machine learning, computer vision, modern responsive websites, and Python FastAPI backends. My main tools include Python, React, PyTorch, TensorFlow, Transformers, LangChain, LangGraph, FastAPI, SQL, and APIs. I care about clean code, reliable results, and understanding what the client actually needs before building.
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Other AI Development Services I Offer
FAQ
What is a RAG chatbot?
RAG (Retrieval-Augmented Generation) allows an AI chatbot to retrieve relevant information from your documents or knowledge base before generating an answer.
What data can you use for the chatbot?
I can work with PDFs, documents, websites, text files, structured data, and other supported data sources depending on your requirements.
Can the chatbot answer questions from multiple documents?
Yes. I can build a knowledge base that retrieves relevant information across multiple documents and sources.
Can the chatbot provide sources or citations?
Yes. Source references can be included so users can see where the chatbot's answer was retrieved from.
Can you integrate the RAG chatbot into my existing application?
Yes. I can provide an API or integrate the RAG system into an existing application depending on your technical requirements.
Can you build a custom knowledge base?
Yes. I can build a custom retrieval and knowledge-base system around your data and
Do you provide the source code?
Yes. Source code is included according to the selected package.
