ArXiv Tool

FlowHunt’s ArXiv Tool lets you chat with 2.4 million scholarly articles, using AI Agents to deliver concise responses from the ArXiv database and streamline your research.

ArXiv Tool

Component description

How the ArXiv Tool component works

What is the ArXiv Tool

The ArXiv tool lets you chat with the entire ArXiv database. Based on your choices, it can either return entries with a short description and a link or piece together information from various entries.

Note: Remember that ArXiv is an open-access distribution service. It houses many articles that have not yet been peer-reviewed. Use this Tool for research, but always re-check the credibility of your sources.

How to use the ArXiv tool

This component works with an autonomous AI agent. AI Agents are computer programs that can perform tasks and make decisions independently. The Agents observe their environment and take action based on their unique programming, knowledge, and goals.

If you need more information, simply ask the bot. It’s just like chatting with a knowledgeable friend. It will get deeper into the topic, combining various articles or seamlessly switching to other related topics.

How to connect the ArXiv Tool to your Flow

Let’s create a basic ArXiv Chabot. Thanks to the use of an AI Agent, the Flow is super simple and contains just a few components:

Flow using ArXiv Tool component in FlowHunt
  • Add Chat Input and AI Agent.
  • Connect the input to the Agent.
  • Connect the ArXiv Tool to the AI Agent’s Tool handle.
  • Connect Chat History to let the past messages inform future answers. This is optional and costs more tokens, but it is necessary if you want to give follow-up questions.
  • You’re ready to send the Agent’s text output to the chat.

Feel free to experiment and expand the Flow. You can add more search tools and Knowledge Retrievers to make the bot a true information powerhouse. Play around with the Agent’s goal and backstory to achieve your desired output.

Note: If you want the Chatbot to link sources, just add this requirement to the Agent’s goal and connect an URL Retriever as a tool.

The ArXiv Tool in action

Let’s say we’re interested in learning more about Retrieval-Augmented Generation (RAG). The very same technology this tool uses to retrieve fresh information from the database and use it to generate questions:

Chatbot answer using ArXiv Tool component in FlowHunt

The Chatbot will return articles that best match your query. You can always ask for more options or adjust your query to get more specific results. To get more information about an entry, simply ask about it or follow the included link.

What happens if there isn’t an ArXiv entry that matches your query? The Chatbot lets you know about it instead of hallucinating an answer. If we ask it about FlowHunt, which it shouldn’t know anything about, the chatbot apologizes and prompts you to search the web for your query instead:

Chatbot answer using ArXiv Tool component in FlowHunt after not finding entry +++ title = “ArxivTool” description = “This page is about the ArxivTool component.” id = “arxivtool” +++

Content for ArxivTool will go here.

Examples of flow templates using ArXiv Tool component

To help you get started quickly, we have prepared several example flow templates that demonstrate how to use the ArXiv Tool component effectively. These templates showcase different use cases and best practices, making it easier for you to understand and implement the component in your own projects.

Frequently asked questions

What is the ArXiv Tool?

The ArXiv Tool lets you chat with the entire ArXiv database. It uses AI agents to retrieve articles matching your query and provides concise summaries or links to relevant sources.

How do I connect the ArXiv Tool to my Flow?

Add Chat Input and AI Agent components, connect the ArXiv Tool to the Agent’s Tool handle, and optionally add Chat History for follow-up questions. You can further expand your Flow with other tools and knowledge retrievers.

Can the ArXiv Tool provide links to sources?

Yes. If you want your chatbot to link sources, add this requirement to the Agent’s goal and connect a URL Retriever as a tool.

What happens if there is no matching ArXiv entry?

If no ArXiv entry matches your query, the chatbot will let you know rather than generating a potentially incorrect answer, and may suggest searching the web instead.

Are ArXiv articles peer-reviewed?

No, ArXiv is an open-access distribution service and many articles have not yet been peer-reviewed. Always verify the credibility of your sources when using the tool.

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