I will build ai automation with rag pipeline

ChatGPT doesn't know your business. Your internal docs, SOPs, product manuals, past tickets none of that is in the model. RAG (Retrieval-Augmented Generation) fixes that by letting the AI search your documents before it answers.

I build RAG pipelines that are grounded, accurate, and production-ready not demo projects. I've built and deployed a live RAG system handling 4050 IT tickets per day with 98-99% classification accuracy at a large telecom company.

What I'll build for you:

Ingest your documents (PDF, Word, Excel, text, CSV)

Chunk and embed them using sentence-transformer models

Store vectors in FAISS or a vector DB of your choice

Build a retrieval layer that finds the right context

Feed retrieved context into GPT-4, Claude, or your LLM of choice

Return structured, grounded answers not hallucinations

Good fits for this gig:

Internal knowledge base Q&A bot

Customer support bot trained on your product docs

IT helpdesk or HR policy assistant

Any chatbot that needs to know your specific data

All pipelines are built in Python. I also test for hallucination and retrieval failures before delivery.

Message me with your document type and use case I'll scope it quickly.