I will build a custom rag chatbot trained on your pdfs, website and documents data


About this gig
Turn your documents into a chatbot that actually knows your business.
I build RAG (Retrieval-Augmented Generation) chatbots that answer questions accurately from your own data PDFs, manuals, websites, or knowledge bases instead of generic AI responses.
What I can build for you:
- Chatbot trained on your PDFs, DOCX, or website content
- Customer support bot that answers from your product docs/FAQs
- Internal knowledge base search for your team
- Conversation memory so the bot remembers context across a chat
- Vector database integration (Qdrant, Pinecone, Chroma) for accurate, fast retrieval
Why work with me:
- Built multimodal, real-time RAG pipelines as part of a hackathon-winning multi-agent system
- Fine-tuned domain-specific LLMs with measurable accuracy gains (76% on a specialized benchmark)
- Production ML internship experience I build for reliability, not just demos
Tech stack: Python, LangChain, FastAPI, OpenAI, Gemini, Claude, Qdrant, ChromaDB, Docker
- Have documents in a different format or a specific use case? Message me happy to scope it.
Get to know Alok Kumar
- FromIndia
- Member sinceJun 2025
- Avg. response time1 hour
Languages
Hindi, Bihari, English
My Portfolio
FAQ
What document formats do you support?
PDF, DOCX, TXT, and website URLs — other formats on request.
Will the chatbot make things up (hallucinate)?
No — it only answers from your provided data, and I add fallback responses for out-of-scope questions.
Can I update the knowledge base later myself?
Yes, I'll set it up so you can add/update documents without needing me each time (Standard & Premium).

