I will build a custom rag pipeline for your private documents

Do you need an AI that knows your data, protects your privacy, and doesn't break the bank?

Large Language Models (LLMs) are powerful, but sending your proprietary data to a third-party API is a massive security risk. I specialize in building Private, Local RAG (Retrieval-Augmented Generation) Pipelines that allow you to "chat with your documents" securely on your own hardware.

As an independent Machine Learning researcher with work accepted at the ICML 2026 EMM-QA Workshop, I focus on high-efficiency architectures. This means no simple API wrappers ;)

What I offer:

• Production-Grade RAG: Convert your PDFs, documentation, or internal databases into a searchable "Brain" for your AI.
• Privacy-First Design: Implementation of open-weight models that run locally - your data never leaves your server.
• Several Retrieval Methods: Combining lexical search (BM25) with semantic vector search to ensure the AI actually finds the right information.

PLEASE NOTE: RAG systems are highly dependent on the quality and structure of your data. Please message me before ordering so we can conduct a quick feasibility check of your dataset and goals.