I build custom AI chatbots that answer questions directly from your own documents, policies, legal texts, product manuals, FAQs, or any knowledge base you provide. Instead of generic AI responses, your chatbot gives accurate, source-grounded answers based on your actual content.
What I deliver:
- A working RAG (Retrieval-Augmented Generation) chatbot, deployed and accessible via web link or embedded on your site
- Hybrid retrieval system (keyword + semantic vector search) for accurate document matching, not just simple keyword lookup
- Anti-hallucination safeguards so the bot answers only from your provided documents instead of making things up
- Multi-language support available (including Urdu/Roman Urdu, if relevant to your audience)
- Clean, structured responses with source attribution
My approach:
I've built and deployed production RAG chatbots end-to-end, including a Pakistani legal information chatbot and an Islamic finance assistant handling everything from document chunking and embedding to query classification and response formatting. I know how to prevent the common failure modes of AI chatbots (hallucination, irrelevant retrieval, poor multi-language handling) because I've debugged them in live systems.
Tech stack: Python, FastAPI, LangChain, FAISS, BM25, Hugging Face, Docker
Ideal for: Law firms, financial services, e-commerce support, internal knowledge bases, educational platforms, or any business sitting on documents that customers or staff need to query quickly.
Your documents and your goal. I'll scope the right approach and timeline for your use case.