A Complete Guide to Creating a Medical Chatbot with an AI Agent
Discover how to build a powerful medical chatbot using FlowHunt’s AI agent and PubMed tool for accurate, research-backed medical answers.

What is an AI Agent?
An AI agent is an autonomous system capable of perceiving its environment, processing information, and taking actions to achieve specific goals. These agents are designed to mimic human decision-making processes, allowing them to operate independently and make informed decisions without direct human intervention. They can function across various domains, utilizing their ability to learn from experiences and adapt to new information.
Examples of AI Agents
- Chatbots: Interact with users to provide customer support.
- Robots: Perform tasks in manufacturing or healthcare.
- Recommender Systems: Suggest products or content based on user preferences.
In the context of FlowHunt using the PubMed tool, an AI agent can autonomously search through PubMed, retrieve relevant articles, and generate responses based on the latest scientific research.
AI Agents and Their Tools
Tools in AI are specialized software components that extend an AI agent’s capabilities. They assist with tasks such as data retrieval, content analysis, and automation.
- NLP (Natural Language Processing) tools: Help process human language.
- Search tools: Retrieve information from vast databases.
AI agents use these tools to perform tasks efficiently, often calling specific tools as needed based on the task at hand.
Summary
In summary, AI agents act autonomously to complete tasks, while tools are the software functions they use to enhance their performance. By benefiting from these tools, AI agents can operate more effectively and tackle a broader range of tasks, making them invaluable across various applications. This guide will show you how to implement an AI agent in FlowHunt to utilize the PubMed tool for efficient research.
What is PubMed: Its Origins, Evolution, and Importance
Before we dive into the technical details of using the PubMed tool, let’s first take a moment to understand what PubMed is, its historical context, and why it has become an indispensable resource for scientific research.
What is PubMed?
PubMed is a free search engine that provides access to a vast database of references and abstracts on life sciences and biomedical topics. It primarily indexes content from MEDLINE, a premier bibliographic database covering over 5,200 journals in the fields of medicine, nursing, dentistry, veterinary medicine, and health care. Beyond MEDLINE, PubMed also includes articles from other life sciences journals, ensuring comprehensive coverage of topics ranging from molecular biology to public health.
The Origins and Evolution of PubMed
PubMed’s origins trace back to the early 1970s when the National Library of Medicine (NLM), part of the National Institutes of Health (NIH), launched MEDLINE as an online, searchable version of its Index Medicus—a manual index of articles from biomedical journals. MEDLINE revolutionized the way researchers accessed medical literature, providing a centralized and searchable database.
In 1996, PubMed was launched by the National Center for Biotechnology Information (NCBI), a branch of NLM. PubMed was designed to provide free access to MEDLINE and other life sciences databases. Over the years, PubMed has evolved into a critical tool for researchers, clinicians, and educators around the world, expanding its scope to include articles from diverse fields such as biochemistry, genetics, oncology, environmental science, and more.
Why PubMed is an Amazing Resource
PubMed is not just a search engine; it’s a gateway to reliable, reviewed, and up-to-date scientific literature.
Why it’s indispensable:
- Comprehensive Coverage: Over 32 million citations and abstracts, spanning a wide range of practices.
- Credibility: Content from peer-reviewed journals ensures scientific validity.
- Accessibility: Freely accessible to anyone with the internet.
- Up-to-Date Information: Regularly updated with new research.
For researchers and academics, PubMed is an essential tool for conducting literature reviews, keeping up with new research, and ensuring that their work is grounded in the latest scientific findings.
Why Use the PubMed Tool?
Given the vastness of PubMed, navigating it efficiently can be a challenge, especially for those unfamiliar with scientific databases. This is where FlowHunt’s PubMed tool comes into play. The tool simplifies the process of accessing and utilizing PubMed, making it easier to extract relevant and high-quality information for your research or project. By using an AI agent with the PubMed tool, you can automate and optimize this process, saving time and enhancing the quality of your research.
Step-by-Step Guide to Creating an AI Chatbot with the PubMed Tool
Now that you understand the significance of PubMed and the advantages of using the PubMed tool within FlowHunt, let’s dive into the step-by-step process of creating a research flow. This flow will enable you to harness the full potential of PubMed, transforming how you gather and utilize scientific information.
Creating a New Flow

- Name Your Flow: Give your flow a descriptive name that reflects the focus of your research or project.
- Add a Detailed Description: Add a description of the flow’s purpose to help you and others understand its objectives, especially if managing multiple flows.
Step 2: Exploring the Canvas
Once your flow is created, you’ll be presented with a blank canvas. This workspace allows you to easily drag and drop components, connect them, and create a logical sequence guiding the AI agent from input to output.
Step 3: Adding Essential Components

- Input Component: Where the user’s query is entered. This is the starting point, capturing the question or topic to explore.
- Output Component: Where the AI agent’s response is delivered—containing the information retrieved and processed by the tool.
These two components—input and output—are the foundation of your flow. Everything between these stages determines the quality and relevance of the information the AI agent provides.
Integrating AI Agent

With the input and output components in place, the next step is to integrate the AI agent. The AI agent will use the PubMed tool to search for and retrieve relevant scientific information. The agent acts as the brain of your flow—processing the query, determining which tools to use, and orchestrating the retrieval and generation of the response.
Fine Tuning AI Agent with Optional Components
To further enhance your flow’s performance, consider adding optional components:
- Chat History Component: Allows the AI agent to remember previous conversations, providing more coherent and contextually relevant answers.
- LLM (Large Language Model) Component: Lets you switch models or fine-tune responses for specific needs, tailoring the chatbot’s language and reasoning capabilities.
Adding the PubMed Tool

Add the PubMed tool from the tools tab. This tool is designed to interact with the PubMed database, allowing the AI agent to:
- Search and Retrieval: Perform searches within PubMed based on the user’s query, retrieving articles, abstracts, and relevant data.
- Content Extraction: Extract key information (study results, methodologies, conclusions) from relevant articles, organizing it into a coherent response.
- Relevance and Accuracy: Prioritize the most relevant and scientifically accurate content for trustworthy responses.
This transforms your chatbot into a powerful research assistant, capable of sifting through millions of articles and delivering concise, accurate summaries.
Connecting Components in Flows
With all your components in place, connect them as follows:
- Link Input to AI Agent: So the agent receives the user’s query.
- Link AI Agent to PubMed Tool: Enables the agent to search for relevant information.
- Link PubMed Tool to Output: Ensures the retrieved and processed information is delivered as a response.

AI Agent Prompting
The system message guides the AI agent on its specific role and function, acting as its instruction manual. Customizing this message tailors the agent’s behavior to your research goals.
Consider:
- Specificity: Be specific about what the AI agent should do (e.g., focus on a particular medical condition).
- Tone and Style: Define the desired tone (academic, conversational, etc.).
- Desired Outcome: State the goal (e.g., provide a summary, highlight trends, identify gaps).
Our Prompt:
You are a medical assistant that will give detailed answers based on real scientific research.
Testing AI Agent
Test your AI agent by inputting specific queries and observing how it processes, searches PubMed, and delivers responses. Pay close attention to quality, accuracy, and relevance. If results aren’t as expected, adjust components, system message, or connections for optimization.
Reviewing and Optimizing the Flow
After testing, review the AI agent’s performance:
- Is the information accurate and up-to-date?
- Is the response relevant and insightful?
- Is the output clear and well-organized?
Tweak components, system message, or add tools as necessary. Optimization is ongoing as new research and tools become available.
The Power of Flows: Why This Setup is Incredibly Effective
By following these steps, you’ve created a research flow that is both simple and powerful. With the PubMed tool integrated into your FlowHunt setup, you can quickly access a vast repository of scientific literature, transforming the way you gather, analyze, and apply research.
Key Advantages of This Flow
- Time-Saving: Automated search and retrieval speeds up finding relevant articles.
- Informed Decision-Making: Access to the latest research enables evidence-based decisions.
- Customizable: Tailor the flow to different research needs and preferences.
Screenshot and Final Thoughts
To help you replicate this setup, here’s a screenshot of all components and the prompt used in our example flow:

Conclusion
- Experiment with Different Prompts: Try various system messages and queries to see how the agent’s responses change.
- Keep Learning: Explore new ways to optimize or enhance your flow with additional tools.
- Engage with the Community: Reach out to the FlowHunt community for advice and insights.
Thank you for following along with this detailed guide! We hope it has provided you with the knowledge and confidence to create your own powerful research flow using the PubMed tool in FlowHunt. If you have any questions or encounter issues, leave a comment below and we’ll address your queries as soon as possible.
Staying on the Cutting Edge of Research Has Never Been Easier
With the right tools, navigating the world of scientific literature doesn’t have to be daunting. The PubMed tool within FlowHunt empowers you to access, understand, and apply the latest research in your field. Whether conducting academic research, preparing a report, or exploring a new topic, this flow helps you unlock the full potential of PubMed. Create your flow and embark on a journey of discovery and innovation today!
Frequently asked questions
- What is FlowHunt's PubMed tool?
FlowHunt's PubMed tool allows AI agents to search, retrieve, and summarize biomedical literature from PubMed, providing accurate and evidence-based answers to medical queries.
- How can I create a medical chatbot with AI?
You can create a medical chatbot by setting up a research flow in FlowHunt, integrating an AI agent with the PubMed tool, and configuring input/output components for efficient, research-backed responses.
- What are the benefits of using AI agents for medical inquiries?
AI agents automate the process of searching and analyzing scientific literature, saving time and ensuring that medical answers are accurate, up-to-date, and based on peer-reviewed research.
- Do I need coding skills to build an AI medical chatbot in FlowHunt?
No coding is required. FlowHunt offers a no-code platform where you can drag and drop components to build custom AI chatbots easily.
Start Building Your Medical AI Chatbot
Effortlessly create medical chatbots with FlowHunt's PubMed tool and AI agents. Access reliable, up-to-date scientific research for accurate medical responses.