DeepRef FAQs

Question 1

How does DeepRef integrate with AI models and LLMs?

Accepted Answer

DeepRef acts as a Model Context Protocol (MCP) server, facilitating seamless integration. It receives research queries from AI models, processes them, and injects structured paper metadata, citations, and abstracts directly into the model's context.

Question 2

What kind of data does DeepRef provide, and how is it structured?

Accepted Answer

DeepRef delivers real-time, clean, and standardized paper metadata. This includes intelligently formatted citations, full abstracts, and other essential details, ensuring trustworthiness and ease of use for researchers.

Question 3

Which scholarly databases can DeepRef query?

Accepted Answer

DeepRef supports multi-database searches across leading academic sources including arXiv, Semantic Scholar, and PubMed, allowing users to discover a broad range of relevant papers simultaneously.

Question 4

Who is the target audience for DeepRef?

Accepted Answer

DeepRef is designed for researchers, students, and academics who leverage AI tools and require fast, contextual, and reliable access to academic literature, along with precise citation and abstract retrieval for their work.

Question 5

What is DeepRef and what does it do?

Accepted Answer

DeepRef is an intelligent AI research copilot that connects large language models (LLMs) with scholarly databases to retrieve and structure academic papers, citations, and abstracts, providing trustworthy research assistance.

DeepRef

DeepRef

주요 기능

사용 사례

주요 기능

사용 사례