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Building a Research Assistant with Agentic AI

Linda Torries – Tech Writer & Digital Trends Analyst by Linda Torries – Tech Writer & Digital Trends Analyst
September 9, 2025
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Building a Research Assistant with Agentic AI
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Introduction to Agentic AI Research Assistant

We live in an era of overwhelming scientific output: millions of articles, preprints, and updates accumulate faster than any individual can read. To tackle this issue, Agentic AI offers a pragmatic solution – autonomous, tool-using systems that can plan searches, execute them against authoritative databases, and distill only the most relevant evidence.

How Agentic AI Works

Instead of generic chat, the goal of Agentic AI is disciplined inquiry: construct structured queries, fetch primary sources, extract study design and outcomes, and return a defensible synthesis with precise citations. This approach enables researchers to streamline their workflow and focus on high-level tasks.

Building a Research Partner with n8n

The development of a research partner using n8n, a platform for automating API calls, is a key aspect of Agentic AI. n8n efficiently queries PubMed for biomedical literature, allowing researchers to quickly find relevant studies. The system uses specific tools such as ESearch, ESummary, and EFetch to prioritize recent and relevant studies.

Tools Used in the Project

The tools used in the project are:
ESearch: used for searching PubMed
ESummary: used for retrieving summaries of articles
EFetch: used for fetching full articles
These tools enable the system to synthesize findings from multiple abstracts while maintaining citation integrity.

Benefits of Agentic AI

The approach showcased in this project highlights the potential of agentic AI to streamline the research process in an era of overwhelming information. By using autonomous systems to plan searches and extract relevant evidence, researchers can save time and focus on high-level tasks.

Conclusion

In conclusion, Agentic AI offers a powerful solution for researchers to streamline their workflow and focus on high-level tasks. By using autonomous systems to plan searches and extract relevant evidence, researchers can quickly find relevant studies and synthesize findings from multiple abstracts.

FAQs

Q: What is Agentic AI?
A: Agentic AI refers to autonomous, tool-using systems that can plan searches, execute them against authoritative databases, and distill only the most relevant evidence.
Q: What is n8n?
A: n8n is a platform for automating API calls, used in the project to query PubMed for biomedical literature.
Q: What are the benefits of using Agentic AI?
A: The benefits of using Agentic AI include streamlining the research process, saving time, and focusing on high-level tasks.
Q: How does the system prioritize recent and relevant studies?
A: The system uses specific tools such as ESearch, ESummary, and EFetch to prioritize recent and relevant studies.

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Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries is a skilled technology writer with a passion for exploring the latest innovations in the digital world. With years of experience in tech journalism, she has written insightful articles on topics such as artificial intelligence, cybersecurity, software development, and consumer electronics. Her writing style is clear, engaging, and informative, making complex tech concepts accessible to a wide audience. Linda stays ahead of industry trends, providing readers with up-to-date analysis and expert opinions on emerging technologies. When she's not writing, she enjoys testing new gadgets, reviewing apps, and sharing practical tech tips to help users navigate the fast-paced digital landscape.

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