I will develop a professional rag ai assistant for your data


About this gig
Are you tired of generic AI chatbots that provide inaccurate answers or lack context? I specialize in building Retrieval-Augmented Generation (RAG) chatbots that are grounded in your specific data. Whether it's your companys PDFs, websites, knowledge bases, or internal databases, I ensure your chatbot provides accurate, cited, and secure responses."
What I offer:
- Custom Knowledge Integration: Connect your documents (PDF, Docx, CSV, Notion, etc.) to an AI model.
- Source Citation: The bot will provide the exact source link or text snippet it used for the answer.
- Reduced Hallucinations: By grounding the model in your data, we eliminate random guesswork.
- Integration: Deploy your bot on websites, Slack, Discord, or WhatsApp.
- Tech Stack: OpenAI (GPT-4o), LangChain, LlamaIndex, Pinecone/ChromaDB (Vector Databases).
"Lets build a smart, reliable assistant that helps your customers and employees instantly."
Get to know Asad Khan
Machine Learning and Python Expert AI Solutions Developer
- FromPakistan
- Member sinceFeb 2025
Languages
English, Urdu
My Portfolio
FAQ
What is RAG?
RAG (Retrieval-Augmented Generation) allows an AI to look up your private data before answering, making it much more accurate and relevant than standard ChatGPT.
Does the AI store my data?
Your data is indexed in a vector database for retrieval purposes. I ensure that all implementations follow best security practices
Can the chatbot cite its sources?
Yes! I can program the chatbot to provide links or quotes from your documents so users can verify the information.
Which AI models do you use?
I primarily work with OpenAI’s GPT models, but I can also integrate Anthropic (Claude) or open-source models like Llama 3 depending on your privacy requirements
Do I need to host the bot myself?
I can guide you through the deployment process on platforms like Vercel, Streamlit, or AWS.

