Build AI-Powered Document Analysis & RAG Systems

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Service Description

I create AI-driven document processing solutions that turn PDFs, reports, and datasets into actionable insights. I specialize in Retrieval-Augmented Generation (RAG) for knowledge extraction and conversational AI.

Services include:

Document indexing & semantic search

Q&A over PDF, Word, or custom datasets

Conversational AI interfaces for document querying

Integration with Python, LangChain, and vector databases

All solutions are deployable with FastAPI and Docker.

Technology Used

Python, LangChain, LangGraph, FastAPI, Docker, Hugging Face, Pandas, Scikit-learn

Frequently Asked Questions

1: Can you handle large document datasets?
Ans: Yes, I optimize vector search for efficiency.

2: Can the system answer natural language questions?
Ans: Absolutely, using RAG pipelines.

3: Is deployment included?
Ans: Yes, with Docker and optional cloud hosting.