Perplexity is yet another fascinating innovation in the AI space, and it has been around for a while now. It has managed to establish itself as a real and imho better alternative to Google (even Google AI) by offering more control over the search itself (like choosing the model, the depth of the AI search, and so on).
However, Perplexity is more focused on the user interface and experience (UI/UX). When it comes to integrating with other tools—such as workflows on make.com or n8n, agents, or chatbots—you typically need an API. Although Perplexity does have an API, it is mainly for AI LLM inference.
In its simplest form, the API should simply answer questions using internet search and AI.
And here is where Tavily steps in. If you haven’t heard of them, they’re the driving force behind the open source research gpt.
With GPT Researcher, you can do exactly what you would expect: AI-powered research using facts from the internet or even on-premise documents, powered by LLMs. It has become incredibly powerful. It’s worth taking a look at.
So what is Tavily about?
In simple terms, Tavily is a search service (like Serper or serpapi) with one big advantage: it is built from the ground up for LLM search. Put plainly, you can just ask a question and it can search the internet for you, then answer that specific question. Best of all, it’s entirely accessible via an API.
Here’s an example scenario you can try in the playground:
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