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I will build a rag ai chatbot to chat with your pdfs documents or knowledge base


À propos de ce service
Need an AI system that can read documents and answer questions intelligently?
I will build a Retrieval-Augmented Generation (RAG) chatbot that allows users to chat with PDFs, documents, or a knowledge base. This solution uses advanced Large Language Models to retrieve relevant information from your documents and generate accurate answers.
What this system can do:
- Upload and analyze PDFs or documents
- Ask questions and get precise answers
- Retrieve information using vector search
- Provide context-aware responses
- Work with multiple documents
Technologies I use:
- OpenAI GPT models
- LangChain / LlamaIndex
- Vector databases (FAISS, Pinecone, Chroma)
- Python backend (FastAPI / Flask)
- Optional web interface or API integration
This solution is ideal for:
- Businesses with knowledge bases
- Customer support automation
- Research document analysis
- Internal company documentation assistants
Why work with me?
Experience building AI and machine learning systems
Clean, scalable, and production-ready code
Fast communication and support
If you have a custom idea or dataset, feel free to message me before ordering.
Découvrez Kamran K
Machine Learning and Generative AI Engineer ChatGPT, NLP, Computer Vision
- DePakistan
- Membre depuisjanv. 2025
- Dernière commande3 mois
Langues
Ourdou, Anglais, Arabe
Mon portfolio
FAQ
What is a RAG chatbot?
A RAG chatbot retrieves relevant information from documents and uses AI to generate accurate responses based on those documents.
What file formats are supported?
PDF, DOCX, TXT, and other document formats.
Can it work with large document collections?
Yes. I can build scalable systems using vector databases.
Can you deploy it to a website?
Yes, I can integrate the chatbot into your website or application.

