I will build custom ai chatbot with rag


About this gig
Need an AI chatbot that can actually understand and search your documents?
I build custom AI chatbots using RAG (Retrieval-Augmented Generation), vector search, and LLM-powered document intelligence for businesses, startups, and internal knowledge systems.
What I can build:
RAG chatbot with accurate document retrieval
Vector search using embeddings + reranking
PDF, DOCX, TXT, CSV document ingestion
FastAPI backend and scalable architecture
Secure AI assistant for internal/company data
Docker-ready deployment support
Tech stack:
Python, LangChain, OpenAI, Claude, FastAPI, pgvector, Pinecone, Docker, PostgreSQL
Perfect for:
Company knowledge bases
Customer support assistants
Legal/policy document search
AI-powered internal tools
Message me before ordering so I can suggest the best architecture for your use case.
Get to know Maaz K
AI Systems Engineer, RAG, MLOps, Computer Vision
- FromPakistan
- Member sinceOct 2025
Languages
English, Urdu
My Portfolio
FAQ
What documents can the chatbot work with?
The chatbot can work with PDFs, DOCX, TXT, CSV, and other structured documents depending on your requirements.
Can the chatbot use my company’s private data securely?
Yes. I can build secure RAG systems with private document storage, role-based access, and controlled retrieval workflows.
Which AI models do you support?
I work with OpenAI, Claude, Gemini, Llama, and other modern LLM providers depending on your project needs.
Can you deploy the chatbot to a website or server?
Yes. I can deploy the solution using Docker, VPS, AWS, or cloud platforms with backend API integration.
Do you provide source code?
Yes. Source code can be included depending on the selected package or add-on options.

