Academic Help For Writing Technical Research Design – RAG Systems Evaluation Data Science

I am developing a master’s-level research design that compares Retrieval-Augmented Generation (RAG) systems from an information retrieval and evaluation perspective. I am looking for someone that can help we out with helping and brainstorming the thesis design


What I am looking for:

- Refining research questions and comparison criteria for RAG systems

- Structuring the theoretical and technical framework

- Identifying and organizing key literature in RAG, IR, and LLM evaluation

- Designing an evaluation approach (retrieval metrics, generation quality, cost/latency, robustness, etc.)



Project context

Domain: RAG / search systems / LLM pipelines

Approach: system comparison + online comparison with systems

Tooling: Python-based pipeline, API-driven LLM setup


Required background:

- Experience with RAG, search/IR systems, or LLM evaluation

- Strong understanding of evaluation metrics (e.g., precision/recall, nDCG, retrieval vs generation metrics)

- Academic or technical research experience

- Ability to reference recent papers and benchmarks

- One relevant technical or research writing sample

- Your experience with RAG / IR / LLM evaluation

- Your approach to comparing two RAG pipelines