The /search Feature Explained: Building a Perplexity AI Agent with 1 Prompt скачать в хорошем качестве

The /search Feature Explained: Building a Perplexity AI Agent with 1 Prompt

In this video, we explore our Search endpoint by building a Perplexity clone with just a single prompt. We start by breaking down how the Search feature works, covering all the key parameters like sources (web, images, news), location-based filtering, category selection (code, research, PDFs), and time-based search for fresh results. Understanding these features is crucial because it empowers you to build way more than just a simple search. Then we put it all together by prompting Claude to build a full Perplexity-style app using Next.js and the AI SDK. The result? A functional AI-powered search interface with streaming answers, related questions, images, and news, all powered by our Search endpoint. Fireplexity (open-source Perplexity): https://github.com/firecrawl/fireplexity Firecrawl Search Docs: https://docs.firecrawl.dev/features/s... API Reference: https://docs.firecrawl.dev/api-refere... Timestamps: 00:00 Intro & Project Overview 00:31 Setting Up Firecrawl with Bun 02:03 Mastering Search Endpoint Parameters 06:17 Building the Perplexity Clone with AI 08:09 Final App Demo & API Analysis 👇 Learn more about Firecrawl 👇 🔥 Website: https://www.firecrawl.dev/ ⚡ Get started: https://www.firecrawl.dev/blog/master... 📚 Docs: https://docs.firecrawl.dev/ 🔔 Subscribe for more tutorials and feature updates from Firecrawl: @Firecrawl_dev 📱 More Links: 💻 GitHub: https://github.com/firecrawl/firecrawl 🎧 Discord:   / discord   🐦 X (Twitter): https://x.com/firecrawl_dev 💼 Linkedin:   / firecrawl