I will build and deploy rag based ai solutions
About this Gig
Looking to build an intelligent AI system that can answer questions using your own data?
I will design, build, and deploy Retrieval-Augmented Generation (RAG) based AI solutions that combine Large Language Models (LLMs) with your custom documents and databases.
What I Offer:
RAG-based AI chatbots and assistants
Document-based Q&A systems (PDF, DOCX, CSV, DB)
Vector database integration (FAISS, Chroma, Pinecone)
LLM integration (OpenAI, LLaMA, Mistral, etc.)
Backend APIs using FastAPI / Flask
Deployment on cloud or local servers
Secure, scalable, and efficient solutions
Use Cases:
Knowledge base chatbots
Customer support AI
Internal company assistants
Research & document analysis tools
Why Choose Me?
Clean & production-ready code
Fast communication
End-to-end deployment support
100% client satisfaction
Please contact me before placing an order to discuss your requirements.
Other Data Science & ML Services I Offer
FAQ
What is RAG and why should I use it?
RAG combines retrieval from your knowledge base with LLMs, making responses more accurate and grounded in your data.
Can you work with my custom documents/datasets?
Yes, I can process PDFs, CSVs, JSON, or databases and connect them to your AI model.
Which LLMs and vector DBs do you support?
OpenAI, Llama, HuggingFace, Pinecone, Weaviate, FAISS, and others.

