{"id":7812,"date":"2025-05-13T16:43:47","date_gmt":"2025-05-13T15:43:47","guid":{"rendered":"https:\/\/dasini.net\/blog\/?p=7812"},"modified":"2025-07-11T09:30:04","modified_gmt":"2025-07-11T08:30:04","slug":"oracle-dev-days-2025-french-edition","status":"publish","type":"post","link":"https:\/\/dasini.net\/blog\/2025\/05\/13\/oracle-dev-days-2025-french-edition\/","title":{"rendered":"Oracle Dev Days 2025 \u2013 French Edition"},"content":{"rendered":"\n<p><strong>Update<\/strong>:<br>The presentation is available on my <a href=\"https:\/\/speakerdeck.com\/freshdaz\" target=\"_blank\" rel=\"noopener\" title=\"Olivier DASINI on Speaker Deck\">Speaker Deck account<\/a>: <a href=\"https:\/\/speakerdeck.com\/freshdaz\/build-an-ai-powered-search-engine-with-heatwave-genai-semantic-search-capabilities-with-large-language-models\" target=\"_blank\" rel=\"noopener\" title=\"Build an AI-Powered Search Engine with HeatWave GenAI - Semantic Search Capabilities with Large Language Models\">Build an AI-Powered Search Engine with HeatWave GenAI &#8211; Semantic Search Capabilities with Large Language\u00a0Models<\/a><\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"417\" src=\"https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/05\/Olivier_Dasini_HeatWave.png?resize=800%2C417&#038;ssl=1\" alt=\"\" class=\"wp-image-7807\" srcset=\"https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/05\/Olivier_Dasini_HeatWave.png?resize=800%2C417&amp;ssl=1 800w, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/05\/Olivier_Dasini_HeatWave.png?resize=300%2C157&amp;ssl=1 300w, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/05\/Olivier_Dasini_HeatWave.png?resize=768%2C401&amp;ssl=1 768w, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/05\/Olivier_Dasini_HeatWave.png?w=1200&amp;ssl=1 1200w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/figure>\n\n\n\n<p>Join the Oracle Dev Days \u2013 <strong>French Edition<\/strong>, from <strong>May 20 to 22, 2025<\/strong>!<br>This must-attend event (in French) offers a rich program exploring the latest advancements in <strong>AI<\/strong>, <strong>databases<\/strong>, <strong>cloud<\/strong>, and <strong>Java<\/strong>.<\/p>\n\n\n\n<p>Join me on <strong>May 21 at 2:00 PM<\/strong> for the day dedicated to \u201cDatabase &amp; AI.\u201d I\u2019ll be presenting <strong>\u201cBuilding an AI-Powered Search Engine with HeatWave GenAI.\u201d<\/strong> I\u2019ll show you how to go beyond the limits of traditional SQL to harness the power of LLM-driven semantic search.<\/p>\n\n\n\n<p>This approach significantly enhances the relevance of search results by understanding context, interpreting user intent, and handling synonyms.<\/p>\n\n\n\n<p>During this session, we\u2019ll cover:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The technology stack used: SQL, Python, and JavaScript-based stored procedures<\/li>\n\n\n\n<li>The architecture of a complete RAG (retrieval-augmented generation) pipeline, including data extraction, vectorization, storage, and querying within the database<\/li>\n\n\n\n<li>The process of building a chatbot for natural language interaction with the AI<\/li>\n<\/ul>\n\n\n\n<p>Discover how to implement a powerful, AI-enhanced semantic search engine directly within Oracle HeatWave GenAI.<\/p>\n\n\n\n<p>To register, <a href=\"https:\/\/www.oracle.com\/fr\/developer\/events\/dev-tour\/?source=:so:li:or:awr:ocorp:::OD&amp;SC=:so:li:or:awr:ocorp:::OD&amp;pcode=\" target=\"_blank\" rel=\"noopener\" title=\"Oracle Dev Days - Edition Fran\u00e7aise\">click here<\/a>.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Join the Oracle Dev Days \u2013 French Edition, from May 20 to 22, 2025!<br \/>\nThis must-attend event (in French) offers a rich program exploring the latest advancements in AI, databases, cloud, and Java.<\/p>\n<p>Join me on May 21 at 2:00 PM for the day dedicated to \u201cDatabase &#038; AI.\u201d I\u2019ll be presenting \u201cBuilding an AI-Powered Search Engine with HeatWave GenAI.\u201d I\u2019ll show you how to go beyond the limits of traditional SQL to harness the power of LLM-driven semantic search.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[206],"tags":[1697,1747],"class_list":["post-7812","post","type-post","status-publish","format-standard","hentry","category-conference-en","tag-heatwave-fr-en","tag-webinar-en"],"aioseo_notices":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p9LfWW-220","jetpack-related-posts":[{"id":7711,"url":"https:\/\/dasini.net\/blog\/2025\/04\/15\/build-an-ai-powered-search-engine-with-heatwave-genai-part-3\/","url_meta":{"origin":7812,"position":0},"title":"Build an AI-Powered Search Engine with HeatWave GenAI (part 3)","author":"Olivier DASINI","date":"15 avril 2025","format":false,"excerpt":"In this latest post, the final part of my series on building an AI-powered search engine with HeatWave GenAI, I dive into enhancing AI-powered search by embedding full article content into HeatWave. By cleaning HTML, chunking content, generating embeddings, and running semantic similarity searches directly within HeatWave, we unlock highly\u2026","rel":"","context":"Dans &quot;AI&quot;","block_context":{"text":"AI","link":"https:\/\/dasini.net\/blog\/category\/ai\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":7363,"url":"https:\/\/dasini.net\/blog\/2025\/03\/13\/build-an-ai-powered-search-engine-with-heatwave-genai-part-1\/","url_meta":{"origin":7812,"position":1},"title":"Build an AI-Powered Search Engine with HeatWave GenAI (part 1)","author":"Olivier DASINI","date":"13 mars 2025","format":false,"excerpt":"Discover how to build an AI-powered search engine for your applications using HeatWave GenAI. This approach leverages large language models (LLMs) for semantic search, offering a smarter alternative to traditional SQL and full-text search methods. By using embeddings\u2014vector representations of words\u2014the search engine understands context and intent, delivering more relevant\u2026","rel":"","context":"Dans &quot;AI&quot;","block_context":{"text":"AI","link":"https:\/\/dasini.net\/blog\/category\/ai\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/03\/HW_GenaI_search_engine.gif?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/03\/HW_GenaI_search_engine.gif?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/03\/HW_GenaI_search_engine.gif?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/03\/HW_GenaI_search_engine.gif?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/03\/HW_GenaI_search_engine.gif?resize=1050%2C600&ssl=1 3x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/03\/HW_GenaI_search_engine.gif?resize=1400%2C800&ssl=1 4x"},"classes":[]},{"id":8533,"url":"https:\/\/dasini.net\/blog\/2026\/05\/14\/building-an-ai-vision-search-engine-with-mysql-heatwave-genai\/","url_meta":{"origin":7812,"position":2},"title":"Building an AI Vision Search Engine with MySQL HeatWave GenAI","author":"Olivier DASINI","date":"14 mai 2026","format":false,"excerpt":"Modern AI systems increasingly rely on multimodal data: text, images, documents, audio, and video. Among these modalities, image understanding has become one of the most important capabilities for AI-powered applications. Traditionally, implementing these capabilities required specialized computer vision infrastructure, external vector databases, custom ML pipelines, and multiple frameworks. With MySQL\u2026","rel":"","context":"Dans &quot;AI&quot;","block_context":{"text":"AI","link":"https:\/\/dasini.net\/blog\/category\/ai\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2026\/05\/5.2_workflow_Reverse_Image_Search.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":7566,"url":"https:\/\/dasini.net\/blog\/2025\/04\/08\/build-an-ai-powered-search-engine-with-heatwave-genai-part-2\/","url_meta":{"origin":7812,"position":3},"title":"Build an AI-Powered Search Engine with HeatWave GenAI (part 2)","author":"Olivier DASINI","date":"8 avril 2025","format":false,"excerpt":"In this part 2 we focused on enhancing search relevance. We introduced reranking techniques using weighted distances of titles and excerpts to refine initial search results. Then we delved into leveraging article summaries for more effective semantic search, utilizing HeatWave's capability to execute JavaScript stored procedures for sanitizing HTML content\u2026","rel":"","context":"Dans &quot;AI&quot;","block_context":{"text":"AI","link":"https:\/\/dasini.net\/blog\/category\/ai\/"},"img":{"alt_text":"Similarity search across title, excerpt and summary","src":"https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/04\/HWGenAIsearchEngine2.gif?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/04\/HWGenAIsearchEngine2.gif?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/04\/HWGenAIsearchEngine2.gif?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/04\/HWGenAIsearchEngine2.gif?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/04\/HWGenAIsearchEngine2.gif?resize=1050%2C600&ssl=1 3x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/04\/HWGenAIsearchEngine2.gif?resize=1400%2C800&ssl=1 4x"},"classes":[]},{"id":6825,"url":"https:\/\/dasini.net\/blog\/2024\/08\/13\/in-database-llms-for-efficient-text-translation-with-heatwave-genai\/","url_meta":{"origin":7812,"position":4},"title":"In-Database LLMs for Efficient Text Translation with HeatWave GenAI","author":"Olivier DASINI","date":"13 ao\u00fbt 2024","format":false,"excerpt":"While HeatWave GenAI excels at generating English text, its capabilities extend to translation as well. Let's explore how we can effectively translate English content into French using this powerful tool.","rel":"","context":"Dans &quot;AI&quot;","block_context":{"text":"AI","link":"https:\/\/dasini.net\/blog\/category\/ai\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2024\/07\/hw_product_image.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2024\/07\/hw_product_image.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2024\/07\/hw_product_image.png?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2024\/07\/hw_product_image.png?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2024\/07\/hw_product_image.png?resize=1050%2C600&ssl=1 3x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2024\/07\/hw_product_image.png?resize=1400%2C800&ssl=1 4x"},"classes":[]},{"id":8285,"url":"https:\/\/dasini.net\/blog\/2025\/09\/30\/ask-your-database-anything-natural-language-to-sql-in-mysql-heatwave\/","url_meta":{"origin":7812,"position":5},"title":"Ask Your Database Anything: Natural Language to SQL in MySQL HeatWave","author":"Olivier DASINI","date":"30 septembre 2025","format":false,"excerpt":"Natural Language to SQL in MySQL HeatWave makes data accessible to everyone, not just SQL experts. By turning plain English into optimized queries, it removes barriers and speeds up insights. While best practices help ensure accuracy, the feature already shows how LLMs are transforming the way we work with data.\u2026","rel":"","context":"Dans &quot;AI&quot;","block_context":{"text":"AI","link":"https:\/\/dasini.net\/blog\/category\/ai\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/09\/nl2sql-demo3.gif?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/09\/nl2sql-demo3.gif?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/09\/nl2sql-demo3.gif?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/09\/nl2sql-demo3.gif?resize=700%2C400&ssl=1 2x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/09\/nl2sql-demo3.gif?resize=1050%2C600&ssl=1 3x, https:\/\/i0.wp.com\/dasini.net\/blog\/wp-content\/uploads\/2025\/09\/nl2sql-demo3.gif?resize=1400%2C800&ssl=1 4x"},"classes":[]}],"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/dasini.net\/blog\/wp-json\/wp\/v2\/posts\/7812","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dasini.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dasini.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dasini.net\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dasini.net\/blog\/wp-json\/wp\/v2\/comments?post=7812"}],"version-history":[{"count":9,"href":"https:\/\/dasini.net\/blog\/wp-json\/wp\/v2\/posts\/7812\/revisions"}],"predecessor-version":[{"id":8090,"href":"https:\/\/dasini.net\/blog\/wp-json\/wp\/v2\/posts\/7812\/revisions\/8090"}],"wp:attachment":[{"href":"https:\/\/dasini.net\/blog\/wp-json\/wp\/v2\/media?parent=7812"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dasini.net\/blog\/wp-json\/wp\/v2\/categories?post=7812"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dasini.net\/blog\/wp-json\/wp\/v2\/tags?post=7812"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}