I will develop custom rag ai systems using python and llms


About this gig
Are you looking for an AI that gives exact answers from your own data without making things up? I can help.
I build advanced Retrieval-Augmented Generation (RAG) systems. This means your AI will read your documents, databases, or websites and give highly accurate answers to your users.
What You Get:
- Custom RAG AI: A smart chatbot connected directly to your data.
- High Accuracy: Advanced chunking and vector search so the AI does not guess or hallucinate.
- Full System Setup: The backend is built with Python (FastAPI or Django), and I can provide a clean web interface using React.
- Secure Data: Your business information stays completely private and safe.
- Top Tech: Built using LangChain, LlamaIndex, and top LLMs like OpenAI or Claude.
Why Work With Me?
- I have real experience building AI SaaS products from start to finish.
- I write clean code and focus on fast AI response times.
- I provide clear, simple, and fast communication.
My Process:
- We discuss your data and your goals.
- I choose the best AI models and set up the vector database.
- I build and test the RAG system to ensure perfect accuracy.
- I deliver a ready-to-use product.
Send me a message with your project details, and let's start buil
Get to know Muaz Ashraf
AI Engineer RAG Expert LangChain Developer MCP Servers Claude Code
- FromPakistan
- Member sinceJul 2022
- Avg. response time1 hour
- Last delivery2 years
Languages
English
My Portfolio
Other AI Development Services I Offer
FAQ
What is RAG?
Retrieval Augmented Generation combines AI with your data for accurate, contextual responses
Which vector database is best?
I recommend based on your needs: Pinecone for scale, Qdrant for self-hosting
Can you integrate with my existing system?
Yes, I provide REST API endpoints and seamless integration
Can you also develop Mulitmodal RAG?
Yes I developed multimodal rag pipelines using Pinecone, clip also with Powerfull Opensource COLPALI modal.
