{"id":9342,"date":"2024-04-28T14:42:10","date_gmt":"2024-04-28T06:42:10","guid":{"rendered":"https:\/\/www.1ai.net\/?p=9342"},"modified":"2024-04-28T14:43:02","modified_gmt":"2024-04-28T06:43:02","slug":"perplexica%ef%bc%9a%e4%b8%80%e4%b8%aa%e6%8f%90%e4%be%9bai%e6%90%9c%e7%b4%a2%e5%92%8c%e9%97%ae%e7%ad%94%e6%9c%8d%e5%8a%a1%e7%9a%84%e6%90%9c%e7%b4%a2%e5%bc%95%e6%93%8e","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/9342.html","title":{"rendered":"Perplexica: A search engine that provides AI search and question-answering services"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-9343\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/04\/202404281116117339.png\" alt=\"\" width=\"1440\" height=\"900\" \/><\/p>\n<p><a href=\"https:\/\/www.1ai.net\/en\/tag\/perplexica\" title=\"_Other Organiser\" target=\"_blank\" >Perplexica<\/a>It is an AI-driven question-answering<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%90%9c%e7%b4%a2%e5%bc%95%e6%93%8e\" title=\"[Sees articles with [search engine] labels]\" target=\"_blank\" >Search Engines<\/a>, supports multiple search modes, and the search is more accurate. Another open source alternative similar to Perplexity AI supports the use of locally deployed large language models, such as Llama3 and Mixtral. The biggest feature of Perplexica is the design of multiple search modes, including academic search, YouTube video search, academic search, and calculation. These modes adjust the behavior of the search algorithm according to the specific needs of the user, providing more accurate and relevant search results.<\/p>\n<h2><span id=\"lwptoc2\"><strong>Perplexica Features<\/strong><\/span><\/h2>\n<p class=\"detail-dl-div-item-c\" data-v-111b195a=\"\">Use local large language models (LLMs) such as Llama3 and Mixtral.<\/p>\n<p class=\"detail-dl-div-item-c\" data-v-111b195a=\"\">Two main modes: Copilot mode (under development) and Normal mode.<\/p>\n<p class=\"detail-dl-div-item-c\" data-v-111b195a=\"\">Six focus modes, including Full Mode, Writing Assistant Mode, Academic Search Mode, YouTube Search Mode, Wolfram Alpha Search Mode, and Reddit Search Mode.<\/p>\n<p class=\"detail-dl-div-item-c\" data-v-111b195a=\"\">Always get the latest information with SearxNG, no need for daily data updates.<\/p>\n<p class=\"detail-dl-div-item-c\" data-v-111b195a=\"\">Supports image and video search.<\/p>\n<p class=\"detail-dl-div-item-c\" data-v-111b195a=\"\">Planned features include completing Copilot mode, adding a settings page, supporting local LLMs, adding discovery and history saving features, and introducing various focus modes.<\/p>\n<p>Official website address:<a href=\"https:\/\/github.com\/ItzCrazyKns\/Perplexica\">https:\/\/github.com\/ItzCrazyKns\/Perplexica<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Perplexica is an AI-driven Q&amp;A based search engine that supports multiple search modes for more accurate searchesAnother open source alternative similar to Perplexity AI holds the use of locally deployed large-scale language models such as Llama3 and Mixtral.The most important feature of Perplexica is that it is designed with multiple search modes, including academic search, YouTube video search, academic search, and computation-specific modes. These modes adapt the behavior of the search algorithm to the specific needs of the user, providing more accurate and relevant results. Perplexica Features Uses native Large Language Models (LLMs) such as Llama3 and Mixtral. Two main modes: Copilot mode<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[138,140],"tags":[884,2440,2441],"collection":[],"class_list":["post-9342","post","type-post","status-publish","format-standard","hentry","category-product","category-qita","tag-ai","tag-perplexica","tag-2441"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/9342","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=9342"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/9342\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=9342"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=9342"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=9342"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=9342"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}