{"id":14726,"date":"2024-07-04T09:33:45","date_gmt":"2024-07-04T01:33:45","guid":{"rendered":"https:\/\/www.1ai.net\/?p=14726"},"modified":"2024-07-04T09:33:45","modified_gmt":"2024-07-04T01:33:45","slug":"%e7%94%b2%e9%aa%a8%e6%96%87%e6%8e%a8%e5%87%ba-heatwave-genai%ef%bc%9a%e6%8f%90%e4%be%9b%e6%95%b0%e6%8d%ae%e5%ba%93%e5%86%85%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%e7%ad%89%e5%8a%9f%e8%83%bd-2","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/14726.html","title":{"rendered":"Oracle launches HeatWave GenAI: Provides large language models in the database and other functions"},"content":{"rendered":"<p data-vmark=\"7ec5\"><a href=\"https:\/\/www.1ai.net\/en\/tag\/%e7%94%b2%e9%aa%a8%e6%96%87\" title=\"[Sees articles with labels]\" target=\"_blank\" >Oracle<\/a>The company announced the official launch\u00a0<strong><a href=\"https:\/\/www.1ai.net\/en\/tag\/heatwave-genai\" title=\"_Other Organiser\" target=\"_blank\" >HeatWave GenAI<\/a><\/strong>, which includes a large in-database language model, automated in-database vector storage, scalable vector processing, and the ability to conduct natural language contextual conversations over unstructured content.<\/p>\n<p data-vmark=\"6fdf\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-14727\" title=\"ff912c78-a2cc-4b58-a440-80c3ca9ef1ab-1\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2024\/07\/ff912c78-a2cc-4b58-a440-80c3ca9ef1ab-1.png\" alt=\"ff912c78-a2cc-4b58-a440-80c3ca9ef1ab-1\" width=\"766\" height=\"322\" \/><\/p>\n<p data-vmark=\"1b8c\">HeatWave is a cloud technology service that provides automated, integrated, generative AI and machine learning for transactional and lakehouse-scale analytics in a single product.<\/p>\n<p data-vmark=\"f223\">These new capabilities enable customers to apply the power of generative AI to customer data.<strong>No AI expertise required<\/strong>, and there is no need to move data into a separate vector database. HeatWave GenAI will be available immediately and<strong>No additional charge for HeatWave customers<\/strong>.<\/p>\n<p data-vmark=\"da17\">New automated and built-in generative AI capabilities include:<\/p>\n<ul class=\"medium-size list-paddingleft-2\">\n<li>\n<p data-vmark=\"fe72\"><strong>Large Language Model in Database<\/strong>: Simplify and reduce the cost of developing generative AI applications<\/p>\n<\/li>\n<li>\n<p data-vmark=\"0adb\"><strong>Automatic in-database vector storage<\/strong>: Enables customers to use generative AI with business documents without moving data to a separate vector database or requiring AI expertise<\/p>\n<\/li>\n<li>\n<p data-vmark=\"156e\"><strong>Scalable vector processing<\/strong>: Provide semantic search results efficiently and with high accuracy<\/p>\n<\/li>\n<li>\n<p data-vmark=\"f794\"><strong>HeatWave Chat<\/strong>: It is a Visual Code plugin for MySQL Shell that provides a graphical interface that allows developers to ask questions using natural language or SQL<\/p>\n<\/li>\n<\/ul>\n<p data-vmark=\"d41f\">Oracle said that developers can use built-in embedding models to create vector storage for enterprise unstructured content with a single SQL command; users can perform natural language searches in a single step using in-database or external LLMs; data does not have to leave the database, and because HeatWave has a huge scale and ultra-high performance, users do not need to provision GPUs.<\/p>","protected":false},"excerpt":{"rendered":"<p>Oracle announced the official launch of HeatWave GenAI, which includes in-database large language models, automated in-database vector storage, scalable vector processing, and the ability to have natural language contextual conversations based on unstructured content. HeatWave is a cloud technology service that delivers automated, integrated generative AI and machine learning for transaction- and Lakehouse (a new data architecture) scale analytics in one offering. These new capabilities enable customers to apply the power of generative AI to customer data without the need for AI expertise or the need to move the data into a separate vector database. HeatWave GenAI will be available immediately and does not require HeatWave<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[3310,2459],"collection":[],"class_list":["post-14726","post","type-post","status-publish","format-standard","hentry","category-news","tag-heatwave-genai","tag-2459"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/14726","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=14726"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/14726\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=14726"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=14726"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=14726"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=14726"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}