Bringing AI into Oracle APEX is no longer a future idea. It is already practical and achievable. Visit article for more info: https://lnkd.in/gJpnSjtw At Oracle APEX UTSAV 2025, we spoke about how APEX applications can move beyond traditional form-based systems and become intelligent, context-aware platforms. One of the most engaging use cases we discussed was building an “Ask My Document” feature using Retrieval-Augmented Generation (RAG) with Oracle 23ai. The session covered: What RAG really means in real-world applications How Oracle 23ai enables secure, database-driven AI use cases Architecture of an AI-powered document Q&A system in Oracle APEX Live demo showcasing how users can query documents in natural language The goal was simple: show how AI can solve real business problems inside APEX without overengineering or external complexity. We’ve now shared a detailed article that walks through the concept, architecture, and demo showcased during the session. If you’re working with Oracle APEX and wondering where AI actually fits in, this is a good place to start. INOAUG India Oracle APEX User Group Ashish Sahay Suman Singh Vikas Pandey #moca #lowcode #ontoor #ontoorsolutions #OracleAPEX #Oracle23ai #RAG #AIinAPEX #APEXCommunity #INOAUG #orclapex
Oracle APEX AI Integration: Practical Use Cases and Architecture
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uc-local-apex-dev now supports Oracle 26ai, including a guided migration path if you're coming from 23ai. No data loss. https://lnkd.in/eZfEb4HV #orclAPEX #oracle #26ai
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🚀 Session Spotlight | Multicloud AIWorld 2026 From “Ask” to Agentic AI — Transforming Oracle Databases with Intelligent Automation Oracle AI Database is redefining how enterprises interact with data — and the future is agentic. With powerful capabilities like AI Vector Search, native support for agentic workflows, and Oracle’s official MCP (Model Context Protocol) Server integrated via SQLcl, organizations can now move beyond basic Q&A into truly intelligent systems where AI agents plan, act, reason, and iterate directly on the database — securely and at scale. This session explores how Oracle’s new architecture enables AI agents to query, execute SQL, and orchestrate complex multi-step operations without custom integrations, unlocking unprecedented productivity and automation. 🎯 What You’ll Learn • The difference between Agentic AI vs. traditional “Ask” (LLM Q&A) • How agents coordinate LLMs for complex database tasks • Real-world agent use cases — schema discovery, analytics, updates, and semantic search • How Oracle’s MCP Server acts as the universal AI–database connector • Deployment strategies for on-prem, cloud, and hybrid environments • Hands-on workflow: Agent → LLM → MCP → Oracle AI Database • Securing agentic operations with privileges, auditing, and SQL Firewall • How AI Schema Enrichment improves agent reasoning and accuracy • What Oracle is bringing in 2026 to make AI accessible to every user 🎤 Featured Speaker Jeff Smith Distinguished Product Manager, Oracle, USA Product leader for SQL Developer, SQLcl, MCP Server, ORDS, OCI Database Tools, and more — helping developers and DBAs build the future of data-driven applications. 📍 Multicloud AIWorld 2026 | Hyderabad & Bengaluru 🎟️ Free Registration | Limited Seats https://lnkd.in/eWD3f9ZR Join us to learn how to empower your Oracle Databases with agentic AI — driving productivity, automation, and innovation across your enterprise. #MulticloudAIWorld #AgenticAI #OracleDatabase #AITransformation #MCP #DataInnovation #CloudComputing #AIOUG #FutureOfData Oracle Oracle AI Database
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🚀 Session Spotlight | Multicloud AIWorld 2026 GenAI-Powered Database Performance and Management What if database performance tuning stopped being guesswork—and started being a conversation? As databases span multicloud and on-prem environments, observability and performance analysis grow harder, not easier. This session introduces Oracle’s GenAI-driven approach to database observability, showing how natural-language interfaces and LLMs simplify monitoring, troubleshooting, and remediation. You’ll see how AWR.ai and SQLperf.ai use GenAI and Oracle 26ai to analyze performance issues without manual queries, complex reports, or trial-and-error tuning. 🎯 What You’ll Learn • How GenAI reshapes database observability across multicloud and on-prem • How natural-language interaction simplifies performance analysis • How AWR.ai and SQLperf.ai remove manual effort from troubleshooting • How to diagnose performance issues faster and with more confidence 🎤 Featured Speaker Karl Dias Senior Vice President of Product Development, Oracle USA Leads product development initiatives focused on next-generation database performance, observability, and AI-driven management at Oracle. 📍 Multicloud AIWorld 2026 | Bengaluru (08 Feb 2026, Sunday) 🎟️ Free Registration | Limited Seats https://lnkd.in/eWD3f9ZR Ask the database. Let AI do the analysis. #MulticloudAIWorld #GenAI #DatabasePerformance #Observability #OracleDatabase #AWR #SQLTuning #AIforDBAs #AIOUG #mcaiw2026
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The Oracle data can speak with you, and that can unlock huge potential. For 30 years, databases have been passive. You put data in, you wait, and you run a report. Its a "System of Record", great for history, but terrible at taking initiative. Here is how AI Agents are turning the Oracle ecosystem from a silent vault into an active business partner: The "Agentic" Shift: From Rules to Reasoning: No more rigid "if-then" scripts. Agents understand intent. They adapt when business conditions change without needing a human to rewrite the code. From Transactions to Context: Agents don't just see "Invoice #123" They interpret unstructured data (emails, PDFs, logs) alongside your records to give you the full story. From Dashboards to Action: Stop just looking at charts... Agents plan, coordinate, and execute multi-step workflows autonomously. That being said.... Your data should not just sit there. It should be working. By moving to an agentic architecture, you arent just storing the pastm, you are orchestrating the future of your operations. Don’t just manage data. Command it. and Today Flows can help you achieve that. #Oracle #AIAgents #EnterpriseAI #Efficiency #DigitalTransformation #FutureOfWork
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🚀 We are LIVE! The Future of Oracle Fusion Development is Here. We are proud to announce that OracleWings.AI is officially live with Smart Connectivity. Say goodbye to the traditional bottlenecks of the Fusion development lifecycle. In the video below, witness the transformative power of AI as it seamlessly moves from a Functional Spec Document (FSD) to a fully tested Data Model in seconds. Why Smart Connectivity? It is not just about automation; it is about engineering velocity and precision. By integrating Generative AI directly with your Fusion instance, we are fundamentally redefining how development and testing are done. Unlock the full power of OracleWings.AI: 📄 FSD to SQL: Convert requirements into complex queries instantly. 📊 Data Modeling: Autonomous creation and validation of data models. ✅ AI-Driven Testing: Auto-test models to ensure accuracy before deployment. 🔍 Instant RCA: Report failed? Get an immediate Root Cause Analysis. 📝 Templates & Reports: effortless design of BIP templates. ⚡ FastFormula: Generate complex logic using natural language. 📦 Mass Data Loading: Automated creation of FBDI & HDL files. 👥 Admin Automation: Streamlined User creation and Role assignment. ...and much more. Stop coding from scratch. Start engineering with intelligence. for demo contact us at https://oraclewings.ai/ #BIPublisher #SQL #FastFormula #CloudERP #OracleHCM #OracleSCM #OracleERPCloud #DevOps #Automation #TestingAutomation #FBDI #HDL #OracleTechnical#IntegrationWings#OracleFusion#OracleHCM#OracleEPM#OracleCloud#OIC
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Oracle APEX is not just pages, forms, and reports. It’s a complete enterprise platform. Behind every application lives the real value: Data architecture. Security. Integrations. Governance. Performance and scalability. Built natively on the Oracle Database, APEX inherits decades of enterprise-grade reliability, stability, and power. And today — it goes even further. With built-in AI capabilities, vector search, and seamless integrations to Generative AI services, you can add intelligence directly into your apps — without moving data outside the database. At the same time, the learning curve stays simple. Low-code development means teams deliver faster, iterate quickly, and focus on business value instead of infrastructure. Less plumbing. More impact. Build screens → you ship features. Design the platform → you deliver transformation. #OracleAPEX #LowCode #EnterpriseArchitecture #AI #OracleDatabase #DigitalTransformation
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🧠 Large Language Models (LLMs) Are Changing How Oracle APEX Apps Are Built LLMs are no longer experimental for Oracle APEX. They are becoming embedded intelligence inside enterprise applications. With Oracle APEX + LLMs, you can now build apps that: 🔹 Understand natural language Users ask questions → APEX responds with data, not queries. 🔹 Generate SQL & PL/SQL dynamically Faster development. Fewer errors. Cleaner logic. 🔹 Explain data instead of just showing it Dashboards that talk, not just display charts. 🔹 Automate business workflows LLMs can interpret requests, classify tickets, summarize approvals. 🔹 Improve user productivity From smart search to auto-filled forms and guided actions. Why this is powerful in APEX ✔ LLMs integrate cleanly via REST APIs ✔ APEX security + database governance stay intact ✔ AI logic lives close to data — where it belongs Low-code builds the app. LLMs give it intelligence. Oracle APEX is quietly becoming a platform for AI-powered enterprise systems. #OracleAPEX #LLM #GenerativeAI #LowCodeAI #PLSQL #EnterpriseApps #AIArchitecture
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How Oracle 26AI is different from Vector Databases (and why it matters) Vector databases are built to answer one question really well: 👉 “What is similar to this?” Oracle 26AI is built to answer a harder one: 👉 “How do we run enterprise data + AI together?” Here’s the real difference 👇 🔹 Vector DBs • Vector is the database • Optimized for fast semantic retrieval • API-first, minimal transactions • Metadata often lives elsewhere • Great for AI search services & quick demos 🔹 Oracle 26 AI • Vector is a native data type, not a separate system • Lives alongside relational, JSON, graph, spatial data • Full ACID transactions • SQL-based semantic queries • Inherits security, backup, RAC, Data Guard, governance In practice, this changes everything. With a vector DB: 1️⃣ Search vectors 2️⃣ Fetch business data from another DB 3️⃣ Join results in application code With Oracle 26AI: ➡️ One SQL query ➡️ One optimizer ➡️ One transaction That’s not an AI problem alone. That’s AI + business logic + data integrity. My take: • Pure vector DBs can win on raw ANN speed • Oracle 26AI wins when AI must work inside real enterprise systems What do you think?? #Oracle26AI #VectorDatabase #AIinDatabases #EnterpriseAI #SemanticSearch #DBA #DataEngineering #KnowledgeSharing
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Oracle Database 26ai on-prem arrived this January, but is it worth staying in a high-cost support contract for? Despite the hype, experts note that 26ai is simply AI functionality added on top of 23ai, no internal architecture changes and no application recertification needed. If you’re already on 23ai, it’s basically a quarterly update (v23.26.0). Why pay Oracle's premium rates for that? Stop waiting and start saving. Switch to Support Revolution to cut costs by at least 50% and gain a more robust AI strategy on your own terms, talk to our team to find out more 👉 https://lnkd.in/ehpyVjjB
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