Tavily Search Word to String (Tavily)

Last updated on
24 April 2024

This page has not yet been reviewed by AI Interpolator maintainer(s) and added to the menu.

Base data:

Summary:
The Tavily Search Word to String plugin will take any prompt and go ahead a do a search on this an collect the the titles and part of the page that answers the question/prompt into one or multiple text fields. This is usually enough for shorter questions, instead of needing to get the link and scrape the website.

Module needed:
AI Interpolator SERP

Module needed:
Tavily

Field types to populate:
Text (plain, long)
Text (formatted, long)

Base Fields types to use as context:

  • Text (plain)
  • Text (plain, long)
  • Text (formatted)
  • Text (formatted, long)

Extra Requirements:
You need a Tavily account. You get 1000 queries for free when testing it.

Extra Settings:

None

Extra Advanced Settings:

None

Possible example use cases:

  • Automatically get 10 articles about some topic and have OpenAI rewrite a topic using those facts.
  • Do fact check and don't publish if you have errors.
  • Ask how your language and sentiment on a topic differs from other sources.
  • Do a SEO analysis how your content differs from the TOP #10 and suggestions on how to rewrite it.
  • Do a SEO analysis what is unique with the content in the TOP #10 and give suggestions on how to write it.
  • Create a service that generates an automated Podcast from a subject you are interested in.
  • Get all the images used to represent the topic at hand, and use Scenex or OpenAI Vision to get and textual overview how its visualized and either generate an image using AI or automatically find an image from a stock photo vendor.
  • Use Drupal as any type of analytics dashboard where you have to do analysis on content on subjects. For instance if you are FIFA, just scan the news daily about you and figure out what news sources are saying and put it in a dashboard.
  • Add info widgets on a subject. If you do an article about some gadget, you can have a tech spec about it automatically fetched, that is not Wikipedia.

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