Perplexity AI Unveils Internal Knowledge Search and Spaces Features for Enhanced AI-Powered Research

Perplexity Now Offers Knowledge Bases and Collaboration Features

The responses will consolidate both knowledge bases together Perplexity AI is rolling out two new features to enable newer ways of using the artificial intelligence (AI) search platform's capabilities. Announced last week, the AI firm has introduced Internal Knowledge Search and Spaces capabilities. The former allows users to search prompts and get responses based on an internal knowledge base while the latter is a collaboration tool that allows users to invite others into a search project. Both features are currently available to paid subscribers of Perplexity AI, including Perplexity Pro and Perplexity Enterprise Pro users. In a blog post, Perplexity AI announced two new features for the AI search platform. First is Internal Knowledge Search. As the name suggests, it allows users to search prompts and get responses from an internal knowledge base uploaded by them. While users already had the option to upload files and get responses based on them, the new feature now allows users to get a consolidated response which is based on both the files uploaded as well as public web search. This way users can set a framework for the level of responses they are seeking, and use web search to find more information in an easy-to-read format. The company said this was a highly requested feature. The AI firm appears to have designed this feature for its enterprise customers. Perplexity CEO Aravind Srinivas highlighted, "Searching the web in the context of what's relevant to a particular business has never been possible before. Being able to carry out all your research -- across both internal and external sources of data -- in one consolidated knowledge platform will unlock tremendous productivity gains for every enterprise." Perplexity Spaces is the second feature which is being rolled out to paid subscribers of the platform. The collaboration-focused feature allows multiple users to research and organise information together. Any user with access to Spaces can set it up and invite collaborators such as coworkers or friends to add internal files. Collaborators can also select a specific AI model and set specific instructions on how the chatbot should respond to queries. On privacy and security, the company stated that Perplexity will offer a secure and private way for users to conduct research without having to worry about their data being compromised. However, the AI firm did not specifically mention if AI will be trained on the user data curated on Spaces. Perplexity also highlighted that it will soon introduce third-party data integration with platforms such as Crunchbase and FactSet for Enterprise Pro subscribers. Those users who have an active subscription to either of the services can add information from these sources to their internal knowledge bases.

Perplexity's AI search engine goes deep to get your answers

AI conversational search engine Perplexity typically looks for information online or in a provided database and interacts with users one at a time. Now, the company is changing things up with two new major features to augment its answers and improve its collaborative ability. The Internal Knowledge Search and Spaces features, respectively, provide a new way of thinking about AI search not just in the office but in your everyday life as well. Perplexity was among the first to blend Google-style search engines with ChatGPT-style conversational ability, beating both Google and OpenAI to the idea of real-time web searching coupled with an interface that could mimic how people actually speak. Search has, until now, been limited to either hunting online or using provided databases. The Internal Knowledge Search feature melds them together, allowing simultaneous online and internal searching through one giant informational source. Though helpful in using Perplexity professionally for those who need to combine internal company knowledge with the latest information online, it has uses beyond the office. Imagine a student with pages of notes collated from primary sources that aren't available online. Or perhaps you have an obscure hobby poorly documented online but one you have spent decades composing an encyclopedia on. Perplexity can now provide insights from both sources at once, meaning you don't have to do multiple searches simultaneously, potentially a huge time and money saver. The Spaces feature added by Perplexity offers a different approach to leveraging AI. Perplexity's Spaces creates a virtual environment for collaborating with both the AI and other people. You can invite whoever you like to the Space, share files, and use specific instructions to tailor the AI assistant for whatever project you have underway. Perplexity has shaped much of Spaces' pitch around business and related activities, as with Internal Knowledge Search. But, as with the other new feature, Spaces has a lot to offer certain kinds of personal projects. For instance, a group of students might use Space to both organize their various tasks and elevate the project with ideas offered by an AI assistant or trying to plan the perfect vacation with a large group of friends and want a relatable human-like interface for the vast knowledge online that might help with the planning.

New Perplexity Spaces Feature Enhancing AI Research and Collaboration

Perplexity AI has introduced "Spaces", a new feature created to transform how you interact with AI-driven search by seamlessly integrating personal files and custom instructions. Perplexity Spaces is an innovative development that enables you to harness AI in a more personalized and efficient manner, significantly enhancing your research and content creation capabilities. At the heart of Spaces is the ability to merge AI-driven search with up to 50 of your personal files, allowing you to tailor responses to your specific needs. "Spaces allow you to organize your Threads and files by topic or project, making it easier to collaborate and manage research. Whether you're working on a personal project or collaborating with others, Spaces let you create a tailored knowledge hub with both web and personal file searches." This means no more sifting through irrelevant information or struggling to find connections between disparate pieces of data. Instead, Perplexity Spaces adapts to your requirements, providing context-aware insights that make your tasks more manageable and efficient. And with the flexibility to choose from various AI models like GPT-4o and Claude, you can be sure that the AI's performance aligns perfectly with your goals. Spaces offers a unique blend of AI and personal data integration that promises to transform your approach to research and content creation. To start a Thread open your space and type a question into the query box. Threads you start here will be saved to this Space, allowing you to revisit and build on them later. Choose Sources in the search box and choose: Spaces allows you to combine AI-powered search with up to 50 personal files, creating a unique blend of individual and external data. This integration enables you to tailor the AI's responses to your specific needs through custom instructions. Whether you're: Spaces ensures the AI adapts to your unique requirements, providing more relevant and contextual information. One of the key strengths of Spaces is the flexibility it offers in choosing from various large language models. You can select from: This selection allows you to match the AI model to your specific task, making sure optimal performance whether you're working on creative writing, data analysis, or technical documentation. Expand your understanding of AI-powered search with additional resources from our extensive library of articles. Spaces is designed with collaboration in mind, allowing you to share your workspace with up to 10 collaborators. This feature is invaluable for: By allowing multiple users to contribute and refine information within a shared space, Spaces streamlines teamwork and enhances collective productivity. Perplexity AI offers both free and paid versions of Spaces, catering to diverse user needs: This tiered approach ensures you can select the level of functionality that aligns with your requirements and budget, making Spaces accessible to a wide range of users. The versatility of Spaces makes it applicable to numerous tasks: By cross-referencing personal documents with web data, Spaces provides comprehensive insights that enhance your understanding and decision-making processes. A standout feature of Spaces is its integration with Perplexity Pages, allowing you to convert your research and insights into shareable blog posts. This functionality: This feature bridges the gap between research and publication, making it easier than ever to share valuable insights with the world. Spaces goes beyond text-based search, offering: These additional features significantly expand the scope of what you can achieve with Spaces, providing a comprehensive suite of tools for diverse tasks and projects. One of the most powerful aspects of Spaces is its ability to help you navigate and understand intricate subjects. By providing context-aware responses that integrate personal files with web searches, Spaces ensures you receive tailored insights relevant to your specific queries. This capability is particularly useful for: Spaces acts as a personalized knowledge assistant, helping you gain deeper insights and make connections across various fields of study. By using the power of AI and personal data integration, Perplexity Spaces offers a fantastic approach to information management, research, and collaboration. Whether you're a student, professional, or curious learner, Spaces provides the tools to enhance your productivity and deepen your understanding of the world around you. Captain to learn more jump over to the official Perplexity website.

Perplexity's two new features take it beyond just a chatbot | Digital Trends

Perplexity AI, makers of the popular chatbot by the same name, announced Thursday that it is rolling out a pair of new features that promise to give users more flexibility over the sorts of sources they employ: Internal Knowledge Search and Spaces. "Today, we're launching Perplexity for Internal Search: one tool to search over both the web and your team's files with multi-step reasoning and code execution," Perplexity AI CEO Aravind Srinivas wrote on X (formerly Twitter). Previously, users were able to upload personal files for the AI to chew through and respond upon, the same way they could with Gemini, ChatGPT, or Copilot. With Internal Search, Perplexity will now dig through both those personal documents and the internet to infer its response. Recommended Videos Today, we're launching Perplexity for Internal Search: one tool to search over both the web and your team's files with multi-step reasoning and code execution. pic.twitter.com/ftZGNgziBW — Aravind Srinivas (@AravSrinivas) October 17, 2024 "Being able to carry out all your research -- across both internal and external sources of data -- in one consolidated knowledge platform will unlock tremendous productivity gains for every enterprise," the company wrote in an announcement blog post. The company notes that early adopters such as financial services firms have used Internal Search to "conduct more robust due diligence by tapping into internal research, call notes, and the latest industry news." Spaces, on the other hand, is an "AI-powered research and collaboration hub," per the company, that enables you to customize and fine-tune Perplexity's AI assistant to specific project data and requirements. You'll be able to both choose their preferred LLM model and specify how said model should react to their inputs and instructions. The company automatically opts its Enterprise Pro customers out from using their private data to further train its AI, though regular Pro users have to manually quit through the settings menu. "We understand the sensitivity of the data our customers work with, and we're committed to ensuring Perplexity offers the highest levels of safety and privacy, empowering teams to conduct their most critical research without compromise," the company wrote, noting that it plans to also soon incorporate Crunchbase and FactSet for its Enterprise Pro customers. The new features are arriving first for Perplexity Pro and Enterprise Pro subscribers. A Pro plan runs $20 per month, which is in line with the prices OpenAI, Google, and Anthropic all charge for their individual tier subscriptions. Enterprise Pro goes for $40 per month, per user. While Perplexity is a hit among its users, the company is very much not so among the numerous websites that it scrapes its training data from. In 2024 alone, Perplexity has been accused of "directly ripping off" new articles from CNBC and Forbes (the latter of which is now threatening legal action); it's been sent a cease and desist order by both The New York Times and Conde Nast; and accused of outright plagiarism by Wired. In the Forbes case, Perplexity's chatbot reportedly output a near-verbatim version of an exclusive, paywalled report about ex-Google CEO Eric Schmidt's military drone ambitions that was viewed nearly 30,000 times.

Perplexity lets you search your internal enterprise files and the web

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Enterprises can use their Perplexity dashboards to search for internal information and combine it with knowledge from the internet, but this will only be limited to specific files they deem important. Peplexity's new Internal Knowledge Search lets Perplexity Pro and Enterprise Pro users search for information across the web or their internal databases. Customers can access both knowledge bases in one consolidated platform. However, internal knowledge bases will be limited to the files Perplexity users upload to the platform. Frank te Pas, head of Enterprise product at Perplexity, told VentureBeat in an interview that Internal Knowledge Search will only look for information on files users have uploaded, not entire internal databases. "We believe this lets people bring only their most important and valuable data to the table and not the 90% of low-value files they normally sift through," he said. "Customers told us they want to use information that's important to them, which makes their own data even more valuable." Users have a file upload limit (500 for Enterprise Pro users), but te Pas said this may be expanded. Customers can also upload files directly from folders in all the popular document formats like Excel sheets, word documents or PDFs. Still, the company believes Internal Knowledge Search will improve many enterprise functions. Perplexity CEO Aravind Srinivas said research using both internal and external information used to be two separate products. One platform searches the internet and another accesses internal documents and data. "Being able to carry out all your research -- across both internal and external sources of data -- in one consolidated knowledge platform will unlock tremendous productivity gains for every enterprise," Srinivas said in a blog post. Perplexity gave customers like Nividia, Databricks, Dell, Bridgewater, Latham & Watkins, Fortune and Lambda early access to the feature. During the early access testing, the company said customers used the Internal Search feature to do due diligence by combining internal research notes and news from the web, combine older sales materials with more current insights for proposal requests, help employees find benefit information and get product roadmap feedback based on best practices from the internet. Perplexity will also label data sources if the information was from a website or uploaded files so that the user can dive deeper later. In April, Perplexity launched Enterprise Pro, a paid tier of the Perplexity AI chat and search platform. The subscription offers SOC2 certification, single sign-on, user management, file upload alerts and query deletion after a week. Make space for Spaces Perplexity also announced Spaces, a way for teams to share and organize research. Spaces will allow users to share files across a team and customize Perplexity's AI assistant with specific instructions and responses based on their data. The company said customers will also get full control over who gets to access their information. Specific to Perplexity Enterprise Pro, all files and searches on Spaces "are excluded from AI quality training by default." Pro customers have to voluntarily opt out of AI training. Perplexity also promises to provide the "highest levels of safety and privacy." Perplexity plans to add third-party data integration with Crunchbase and FactSet so Enterprise Pro users with subscriptions to those services can add data to their Spaces. "This will allow you to expand your knowledge base even further with the ability to search across the public web, internal files, and proprietary data sets," the company said. Te Pas said that bringing in third-party databases like Crunchbase and FactSet means customers with subscriptions can also bring their personalized search queries on those platforms to Perplexity. For example, if a customer created a list of sectors to watch on either database, they can access that through a Perplexity search. Enterprise RAG is not going away soon Te Pas said Internal Knowledge Search and Spaces is a form of retrieval augmented generation or RAG, where users can leverage their internal ground truth to a search. RAG systems normally sift through databases to find the most relevant answers to queries contained within those files. Most RAG systems use large knowledge repositories, as most enterprises who want to query their own data have an extensive library of information. Occasionally, a company may deploy different RAG use cases, like a real-time information retrieval system or search-only information for a specific unit. Perplexity's version of RAG still searches a database, except that database is one built on Perplexity's platform by users who uploaded their documents to it. Perplexity has to compete with companies like Glean and Elastic, who have been offering RAG platforms for enterprises for a while. Glean launched its AI search chat platform, Glean Chat, which lets enterprises query their own data, last year. Perplexity has increasingly taken traffic share from more traditional search engines like Google. Perplexity also has a revenue-sharing program with some partners, mostly media companies, whose links appear on Perplexity searches.

'Perplexity AI Can Help You Make Millions, or Even Billions of Dollars'

Perplexity AI, one of the leading GenAI startups, is unleashing a host of news services to its paid enterprise customers that can enable them to make informed financial decisions. These include a knowledge search platform, a financial information tool, and a data repository. Its 'Internal Knowledge Search,' allows enterprises to search the organisation's files and the web simultaneously with a single search. "We want Perplexity to be the central knowledge base and research platform for everybody," Aravind Srinivas, founder of Perplexity AI, said in an interview with a media house. He added that it would help users with research inputs, including due diligence, documents and proprietary information. The company believes that one of the primary use cases of this feature is to help financial services firms conduct more robust due diligence by tapping into internal research, call notes, and the latest industry news. Recently, Perplexity AI introduced Perplexity for Finance, which provides real-time stock quotes, historical earnings reports, industry peer comparisons, and detailed company financial analysis -- all with a delightful UI. "These decisions are worth several millions or even billions of dollars. So, it's worth using a tool to give you more clarity," said Srinivas. Perplexity AI will soon add third-party proprietary data integrations with Crunchbase and FactSet for Enterprise Pro customers with active subscription subscriptions. "We'll also do the same for verticals outside finance, such as legal and health," said Srinivas. "With this kind of data integration, Perplexity can become the default go-to place for capital market research and perhaps disrupt online sites/forums. It could potentially influence share prices by what's written on it!," posted a user on X. With the new financial analysis feature, Perplexity AI can help fintech companies and banks, which are currently built in-house, as they are wary of their data being leaked. Today, people count on a variety of services like Bloomberg Terminal, Stockopedia, Refinitiv Eikon, Yahoo Finance, Fidelity Investments, Robinhood, Zerodha, and Groww. Nevertheless, these companies have struggled to make the most of generative AI. "Wait until they ingest all the reports and filings. This is the next generation of Google Finance or Yahoo Finance. A smart bank, wealth or securities business would be partnering with Perplexity AI to build this into their platform/app," posted a user on X. Michael J. Miraflor, an independent consultant at Third City, likened the tool to a Bloomberg Terminal for everyday users, saying, "Is this... Bloomberg Terminal Lite for normies? (I know that's not what this is trying to be, but there are several examples of AI information aggregators moving in that direction.)" Similar to Perplexity's product, other leading financial institutions are also building GenAI products to provide better services. For instance, JP Morgan recently announced the launch of a generative AI tool for its employees - an in-house version of OpenAI's ChatGPT that can effectively perform tasks typically performed by research analysts. Named the LLM Suite, the new large language model platform will be available to employees in JPMorgan's asset and wealth management division. It uses third-party models to support tasks like writing, idea generation, and document summarisation. Earlier this year, JPMorgan began rolling out the LLM Suite to select areas within the bank, reaching approximately 50,000 employees, or about 15% of its workforce. One of JPMorgan's standout offerings is Quest IndexGPT, a tool powered by OpenAI's GPT-4 model for thematic investing. IndexGPT analyzes news articles and generates keyword-driven investment themes, facilitating clients' more informed decision-making. Bloomberg recently introduced BloombergGPT, a model trained on over 50 billion parameters. It assists users in interpreting financial documents, reports, and invoices. A potential threat to Perplexity for Finance could be OpenAI's upcoming SearchGPT, though it has yet to be released. Recently, researchers at the University of Chicago's Booth School of Business published a paper which said that OpenAI's GPT-4 can perform as well as or even better than human experts in financial statement interpretations. Using a method called chain-of-thought, the researchers trained GPT-4 to simulate the mental processes of a human financial analyst. This allowed it to analyse and forecast future market movements. The team taught the model to produce precise predictions by recognising patterns, calculating ratios, and synthesising data. The study claimed that GPT -4 could forecast future profit direction with 60% accuracy, outperforming the majority of human financial analysts, who had an average of 53% and 57% accuracy. Srinivas is least worried about Google today. "Every single query on Perplexity, on average, has 10 to 11 words. Every query on Google has about two to three words, so users have much higher intent with each query, allowing them to ask more targeted questions," he said. In addition, Perplexity AI has introduced a new feature called Spaces. Users can now upload and store files, making it easier to manage and access essential documents. In addition to searching the web, Spaces enables users to search through their uploaded files, streamlining information retrieval. Another exciting feature is the ability to select an AI model of choice, giving users flexibility in their tasks. Moreover, users can write custom instructions to receive customised answers that better meet their specific needs. Earlier this year, Google introduced AI Overviews, but it hasn't received a strong response. Unlike AI Overviews, which have difficulty with complex, multi-layered questions, Perplexity's results effectively handle multiple queries simultaneously, delivering accurate answers and relevant links. Moreover, Google's AI Overviews recently also came under fire for suggesting users should use glue to stick cheese to their pizza, based on a comment from an 11-year-old Reddit user.

What is Perplexity AI? Analyzing the Growth and Stats of a Leading AI Search Engine - Softonic

Launched in 2022, Perplexity AI revolutionized the booming market of generative AI. But what is Perplexity? This innovative artificial intelligence platform was created by a dream team from OpenAI, DeepMind and UC Berkeley using the most advanced language models (GPT-4, Claude-3.5, Claude-3 Opus). With it, users can solve complex queries with ease as well as receiving concise and accurate responses. Reaching over 10 million active users per month in just 2 years and 67.42 million visits in May 2024, Perplexity is slowly climbing to the top of this growing industry. In today's article we'll take an in-depth look at Perplexity AI's key statistics, user demographics, revenue and metrics to learn more about this exceptional artificial intelligence and see what the future has in hold for it. According to the recent data shared by Semrush, Perplexity AI has an average of 10 million active users per month. The site served around 500 million search queries per year and in September 2024, it received a total of 102 million visits, a 24.4% increase from August 2024. As a whole, this gives Perplexity a global rank of 527. Here's the total visits Perplexity received in the last 3 months: Here's a detailed showcase of the survey's results: Surveys suggest that there's a slight average of male Perplexity AI users (56.59%) over female ones (43.31%). However, the difference in gender distribution is not high nor noteworthy. As stated above, Perplexity AI received 102.13 m visits with an average session duration of 9 minutes and 4 seconds. During that time, Perplexity AI users visit an average of 3.22 pages, with a bounce rate of 44.75%. This data is very relevant if we compare it to other competitors such as OpenAI's ChatGPT, Anthropic's Claude or Google's Gemini. As seen by the numbers, Perplexity leads the group in average user engagement time: Average time spent: Most of Perplexity AI's traffic is direct (68.36%) or generated by organic search (27.07%). A little part of it is generated through social media, referrals or emails, but among them they barely reach 4.56%. Here's a complete list of the top channels generating traffic for Perplexity AI: (source) As the recent surveys show, desktop is the preferred device among Perplexity AI users. Among them, 73.29% prefer to access the platform through a desktop device, while 26.71% opt for mobile. If we delve deeper into this data, we find out that the leading country with Perplexity AI visitors, the US, accesses the platform mostly through desktop (88.78%) with only 11.22% using a mobile device. Here's a detailed breakdown of how the top countries access Perplexity AI: With the booming market of generative AI, Perplexity AI's revenue has grown significantly during the past years. The platform saw a 60% increase from 2022 to 2023, generating a total of $24 million in revenue. *estimated As of January 2024, Perplexity AI has been valued approximately at $520 million. The platform is currently in discussion to raise another funding round of $1 billion. Among its most prominent inventors we find SoftBank, Jeff Bezos, Nvidia and Y Combinator. The exponential growth of the platform's funding history showcases a trajectory of increased confidence by investors, which foresees a good future for the AI search engine. (source) Perplexity AI has a 3.1% of the market share in the AI search engine sector as of July 2024. In the overall ranking, it holds the 4th position behind ChatGPT, Microsoft Copilot and Google Gemini. While Perplexity is not in the top 3 AI platforms, it definitely has contributed to the fragmentation of the AI search market and taken share from the top contenders. Perplexity AI poses as a revolution to the search engine industry. Holding a valuation of $520 in just 2 years and over 67 million total visits, the platform is a strong contender in the generative AI industry. With millions of users praising its unbiased results, Perplexity AI has become one of the most trusted search engines in the market, gaining the trust of investors as known as Amazon's mogul, Jeff Bezos. With its advanced language models and real-time web crawling capabilities, Perplexity AI fulfills all the requirements of students, researchers and businesses alike. While still in its early stages, Perplexity AI will surely rapidly evolve and redefine the search experience of millions of users, becoming a strong contender in the booming AI landscape.