Introducing Perplexity Search API

We've built a search index of billions of webpages to provide real-time, quality information from the web.

Now developers have access to the full power of our index, providing the most accurate results in milliseconds.

perplexity.ai/hub/blog/intro… With Microsoft retiring the Bing Search APIs in August, legacy search engines have abandoned the developer community who need real-time access to information.

We're stepping in to provide a search API designed for the new retrieval paradigms introduced by frontier AI systems.

Introducing Perplexity Email Assistant.

Now anyone can have a personal assistant in their email that schedules meetings, drafts replies, and labels priorities.

Perplexity Email Assistant is now available on Gmail and Outlook for all Perplexity Max subscribers. Add Perplexity Email Assistant to any email thread to handle scheduling automatically.

It checks availability, suggests meeting times, and sends calendar invites.

Today we're launching Perplexity Labs.

Labs is for your more complex tasks. It's is like having an entire team at your disposal.

Build anything from analytical reports and presentations to dynamic dashboards. Now available for all Pro users. Deep Research remains the fastest way to get comprehensive answers to in-depth questions.

Labs is designed to invest more time and leverage multiple tools, such as coding, headless browsing, and design to create more dynamic outputs.

Introducing Perplexity iOS Voice Assistant

Voice Assistant uses web browsing and multi-app actions to book reservations, send emails and calendar invites, play media, and more—all from the Perplexity iOS app.

Update your app in the App Store and start asking today. Perplexity Voice Assistant can search for and play podcasts, YouTube videos, and other media.

Introducing Deep Research on Perplexity.

Deep Research lets you generate in-depth research reports on any topic.

Available to everyone for free—up to 5 queries per day for non-subscribers and 500 queries per day for Pro users. Perplexity Deep Research surpasses leading models in performance—scoring 93.9% accuracy on the SimpleQA benchmark.

Perplexity's Sonar—built on Llama 3.3 70b—outperforms GPT-4o-mini and Claude 3.5 Haiku while matching or surpassing top models like GPT-4o and Claude 3.5 Sonnet in user satisfaction.

At 1200 tokens/second, Sonar is optimized for answer quality and speed. Sonar significantly outperforms GPT-4o-mini and Claude 3.5 Haiku in user satisfaction.

It also surpasses Claude 3.5 Sonnet and nearly matches GPT-4o, doing so at a fraction of the cost and over 10x faster.

Introducing Perplexity Assistant.

Assistant uses reasoning, search, and apps to help with daily tasks ranging from simple questions to multi-app actions. You can book dinner, find a forgotten song, call a ride, draft emails, set reminders, and more.

Available on Play Store. Perplexity Assistant browses the web to complete tasks for you. For example, if you want to be reminded of a public event, it will find the correct time and date and set an intelligent reminder.

Introducing Sonar: Perplexity’s API.

Sonar is the most affordable search API product on the market. Use it to build generative search, powered by real-time information and citations, into your apps. We’re also offering a Pro version with deeper functionality. With Sonar Pro, develop capabilities that are even more powerful, supporting advanced, in-depth queries and follow up questions.

We’re excited to announce that we’ve raised $62.7 million in a Series B1 funding led by Daniel Gross. The round also includes Stanley Druckenmiller, NVIDIA, Jeff Bezos, Tobi Lutke, Garry Tan, Andrej Karpathy, Dylan Field, Elad Gil, Nat Friedman, IVP, NEA, Jakob Uszkoreit, Naval Ravikant, Brad Gerstner and Lip-Bu Tan. Since we announced our Series B in January 2024, we’ve grown to serve 169M queries per month, and more than 1 billion queries in the last 15 months. The additional funding will be used to support our continued consumer adoption and enterprise expansion.

When building *answer engines*, truthfulness is essential when delivering direct answers to questions. Just being able to cite your sources isn't sufficient. Hence why we're excited about giving you the power to curate your sources. Few more examples in 🧵 of what it lets you do

https://twitter.com/perplexity_ai/status/1625918295936315393

“Yann LeCun” on @perplexity_ai: something for which you would expect to see an accurate bio of @ylecun is incorrect. Says “he is the cofounder and advisor for @Meta”. Error stems from his Linkedin page having keywords like “cofounder”. Left: Incorrect, Right: Correct.

With Perplexity, you can search over databases. But also do more!

Visualize & Summarize results as aggregate stats, plots

Everyone gets to analyze data from natural language.

No prerequisite knowledge of SQL or plotting libraries necessary.

Link: perplexity.ai/sql Whether you're a data scientist, influencer, journalist, or just someone who loves to delve into data, Perplexity Bird SQL is likely to be a useful tool. Example: What if you wanted to know @elonmusk’s engagement rate in the form of a summary table?
perplexity.ai/sql?uuid=61e45…

Introducing Bird SQL, a Twitter search interface that is powered by Perplexity’s structured search engine. It uses OpenAI Codex to translate natural language into SQL, giving everyone the ability to navigate large datasets like Twitter.
perplexity.ai/sql With Bird SQL, you can quickly find information on Twitter that would have been impossible to find with conventional search engines or web browsing:
"most liked tweets about #worldcup"
perplexity.ai/sql?uuid=9b03e…

Announcing Perplexity Ask, a new search interface that uses OpenAI GPT 3.5 and Microsoft Bing to directly answer any question you ask.
perplexity.ai
discord.com/invite/kWJZsxP… Inspired by OpenAI WebGPT, instead of displaying a list of links, we summarize the search results and include citations so that you can easily verify the accuracy of the information provided.