Blazingly Fast GenAI App Development using Spring AIJuarez Junior
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Spring AI is a project aiming to simplify the development of applications that integrate artificial intelligence (AI) functionalities.
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So, it achieves this by providing abstractions and interfaces that manage the complexity of AI models.
This talk provides an excellent introduction to Spring AI, its use, and the typical use cases it can address.
The demos comprise Java code samples with Spring AI, the Oracle Database 23ai, and Oracle AI Vector Search.
@juarezjunior
The Trinity in GenAI - Spring AI, LangChain4J and OpenAIJuarez Junior
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LangChain4J is a Java-based library inspired by the popular Python library LangChain, which is a framework for
Generative AI applications, allowing developers to connect various building blocks easily to create powerful AI applications.
Spring AI aims to apply Spring ecosystem design principles such as portability and modular design to the AI domain.
It encapsulates many of the complexities required to interact with several different GenAI providers, such as OpenAI.
The demos comprise Java code samples with Spring AI, LangChain4J, OpenAI, the Oracle Database 23ai, and Oracle AI Vector Search.
@juarezjunior
Optimize contract management with AI! In this guide, we explore the 6 best AI tools to automate processes, reduce risks, and boost business efficiency. Discover how modern technology can simplify contract handling!
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Blazingly Fast GenAI App Development using Spring AIJuarez Junior
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Spring AI is a project aiming to simplify the development of applications that integrate artificial intelligence (AI) functionalities.
It focuses on the core belief that the next wave of Generative AI applications will be ubiquitous across many programming languages, including Java.
So, it achieves this by providing abstractions and interfaces that manage the complexity of AI models.
This talk provides an excellent introduction to Spring AI, its use, and the typical use cases it can address.
The demos comprise Java code samples with Spring AI, the Oracle Database 23ai, and Oracle AI Vector Search.
@juarezjunior
The Trinity in GenAI - Spring AI, LangChain4J and OpenAIJuarez Junior
油
LangChain4J is a Java-based library inspired by the popular Python library LangChain, which is a framework for
Generative AI applications, allowing developers to connect various building blocks easily to create powerful AI applications.
Spring AI aims to apply Spring ecosystem design principles such as portability and modular design to the AI domain.
It encapsulates many of the complexities required to interact with several different GenAI providers, such as OpenAI.
The demos comprise Java code samples with Spring AI, LangChain4J, OpenAI, the Oracle Database 23ai, and Oracle AI Vector Search.
@juarezjunior
Optimize contract management with AI! In this guide, we explore the 6 best AI tools to automate processes, reduce risks, and boost business efficiency. Discover how modern technology can simplify contract handling!
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EMEA Virtual Marketo User Group - Adobe Summit 2025 Round UpBradBedford3
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The EMEA vMUG is your go-to community for staying on top of Marketo best practices, trends, and innovations. This session is your opportunity to:
Gain exclusive insights from Adobe Summit 2025the latest product announcements, key takeaways, and industry shifts.
Stay ahead with the Marketo Roadmap Recap, where we break down upcoming features and enhancements.
Learn about current trends in Marketo in the Month, a quickfire look at whats shaping marketing automation right now.
Connect with expert hosts and fellow Marketo users, exchanging ideas, challenges, and strategies to level up your automation game.
Agenda Breakdown:
1鏝 Meet Your Hosts & Our Goals for EMEA vMUG
Kick off the session with an introduction to your hostsseasoned Marketo practitioners and marketing automation leaders. Well also outline our goals for the EMEA vMUG, ensuring this community remains a hub for knowledge-sharing, innovation, and professional growth.
2鏝 Adobe Summit 2025 Wrap-Up
Couldnt attend Adobe Summit? Weve got you covered. Well break down the biggest announcements, strategic insights, and must-know updates that will shape the future of marketing automation. Whether its AI-driven enhancements, new integrations, or best practices from top brands, youll walk away with key takeaways that you can implement immediately.
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Running a PMI chapter is no easy feat. From managing ongoing events to keeping volunteers aligned, it can quickly become an overwhelming amount of projects to keep track of. Join us for an exclusive webinar designed for PMI Chapter Leaders. Well demonstrate how OnePlans free licensing can help streamline your chapters project management, improve collaboration, and provide real-time insights into your initiatives.
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Join the NA VMUG for a recap of Adobe Summit 2025, from the perspective of Adobe Marketo Engage Champions Courtny Edwards-Jones, Lauren McCormack, Corey Bayless and Chris Willis.
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Cloud Lunch and Learn -Microsoft Semantic Kernel for Java
1. An Introduction to Semantic Kernel for Java
CLOUD LUNCH AND LEARN 2024
Juarez Barbosa Junior @juarezjunior
Senior Principal Java Developer Evangelist
ORACLE
Copyright 息 2024, Oracle and/or its affiliates
2. Juarez Barbosa Junior
Senior Principal Java Developer Evangelist @ Oracle
Coming from Dublin, Ireland
29 years of experience in SW Engineering & DevRel
Oracle, Microsoft, IBM, Nokia, Unisys, Accenture, startups
Microsoft Azure Developer Relations Lead
IBM Watson Tech Evangelist & Cloud Rockstar
IBM Mobile Tech Evangelist & Global Thought Leader
Nokia Developers Global Champion
Java, Python, Cloud, DevOps, SRE, Cloud-native, IoT, AI, Blockchain,
Rust
Speaker at conferences
Oracle CloudWorld, Oracle Code, Microsoft Ignite & TechX, jPrime,
JCON, DevConf.cz, GeeCon, DevOpsDays, DeveloperWeek, DevOps
Institute, CloudLand, DWX, The Developers Conference (TDC),
Sec4Dev, JSNation, NodeConf, Conf42, Shift Conf, Global Azure,
Open-Source Lisbon, CodeFrenzy, M棚l辿e Num辿rique, React Summit,
Test.js Summit, Porto TechHub Conf, Pyjamas, MiTechCon, Data
Science Summit, OpenSourceNorth, WeAreDevelopers, Global
Software Architecture Summit, JavaCro, Compass AI Session, I Love
Tech, DeVTalks, BuildStuff, JUGs, OUGs, GDGs, meetups,
hackathons, and customer engagements.
@juarezjunior
@juarezjunior
3. Agenda
AI and GenAI Synthetic Content
Artificial Intelligence and GenAI
OpenAI
AI - Microsoft
Semantic Kernel
Demo Semantic Kernel for Java
Oracle for Java / Database Developers
Technical References
Audience: Its an intro for business /
technical audiences - not necessarily ML /
DL Engineers
Copyright 息 2024, Oracle and/or its affiliates
4. AI and GenAI
Synthetic Content
Dublin in Ireland pictured in a futuristic
cityscape
Copyright 息 2024, Oracle and/or its affiliates
5. Artificial Intelligence and GenAI
Core concepts in a nutshell
GenAI - Artificial intelligence algorithms and transformer
models with the capability of generating content.
Content - Text, images, videos, code, and others.
Generation a result of an input prompt (prompt engineering).
Ethical issues misuse, deep fakes, bias and discrimination,
automation and job replacements, cybersecurity and
cybercriminals.
Copyright 息 2024, Oracle and/or its affiliates
6. Artificial Intelligence and GenAI
Core concepts in a nutshell
Apps Applied currently in the fields of content development,
entertainment, drug discovery, software development,
healthcare, material generation sciences, and others.
AI is now a commodity!
Artificial General Intelligence (AGI) Research ultimate goal
Copyright 息 2024, Oracle and/or its affiliates
7. OpenAI
Generative AI with OpenAI
Natural Language Processing (NLP)
Powerful, pre-trained and customizable Machine Learning
Models
OpenAI API (REST interface)
Scalable infrastructure (GPUs)
https://openai.com/sora
Copyright 息 2024, Oracle and/or its affiliates
8. Lets talk about AI
aka.ms/semantic-kernel 8
Check out the
resources here to
learn about the latest
on AI at Microsoft.
You dream it. AI
helps build it.
Microsoft is
empowering the
world to achieve
more with AI and
its copilot ecosystem.
9. Modernized & augmented
flagship products with copilot
aka.ms/semantic-kernel 9
AI-based search
with Microsoft
Copilot
Biometric identity
verification
Personalized
recommendations
Copilot for Work
across Office 365
Copilot
assisted coding
10. S E M A N T I C K E R N E L / Microsoft confidential
At the center
of it all is
Semantic
Kernel
AI orchestration
Copilots
Plugin extensibility
Apps
AI infrastructure
Foundation models
10
11. What is Semantic Kernel?
aka.ms/semantic-kernel 11
An open-source SDK that lets you
easily build agents that call your
existing code. As a highly extensible
framework, it can be used with models
from OpenAI, Azure OpenAI, Hugging
Face, and more!
By combining your existing C#, Python,
and Java code with these models, you
can build agents that answer questions
and automate processes.
.Net
Java
Python
12. A bridge between LLMs and
your code
ML RESEARCHER APP DEVELOPER
keepingupwith advances
cutting edge models
e x p e r i m e n t a t i o n
stable and performant
efficient to deliver
e a s i l y s c a l a b l e
m a i n t a i n a b l e
algorithm analysis
Your
models
Your
code
Your
memories
Your
prompts
13. Plugins &
aka.ms/semantic-kernel 13
Planners &
Personas
These are the core
building blocks of
Semantic Kernel. By
customizing these key
components, you can
create solutions to suite
exactly your needs.
14. Plugins
aka.ms/semantic-kernel 14
Plugins encapsulate
capabilities into a single unit
of functionality. When you
build a plugin for Semantic
Kernel, you can leverage it on
other services, like ChatGTP,
Bing, and Microsoft 365.
Likewise, any plugin built for
those services can seamlessly
import to Semantic Kernel.
Semantic Kernel
Your app
Plugins
Other AI apps
15. Semantic or native?
aka.ms/semantic-kernel 15
To make a plugin, you'll need
to create some functions.
These are either semantic or
native you decide.
Endpoint
Semantic Kernel
Semantic functions Semantic functions
Time plugin
16. Planners
aka.ms/semantic-kernel 16
A Planner is a function that takes the initial
request and returns a list of steps needed
to fulfill the request. AI is used to mix-and-
match plugins registered in the kernel so it
can recombine them into a series of steps.
Semantic Kernel
Person has a request
Plugins
Plan
18. Personas
aka.ms/semantic-kernel 18
Personas are what defines an agent's role, like
a set of instructions. They hold their own
memories which provide broader context to
the requests made.
This is what empowers multi-agent systems
where specialists are defined to execute
requests they were designed to fulfil.
Project manager agent
Researcher agent
Copywriter agent
Designer agent
20. Memories
aka.ms/semantic-kernel 20
This is what provides context to the initial request. Memories are fed into
Semantic Kernel in a few different ways.
Conventional key-value pairs: Just like you would set an environment variable in your
shell, the same can be done when using Semantic Kernel. The lookup is
"conventional" because it's a one-to-one match between a key and your query.
Conventional local-storage: When you save information to a file, it can be retrieved
with its filename. When you have a lot of information to store in a key-value pair,
you're best off keeping it on disk.
Semantic memory search: You can also represent text information as a long vector of
numbers, known as "embeddings." This lets you execute a "semantic" search that
compares meaning-to-meaning with your query.
21. Prompts
aka.ms/semantic-kernel 21
This is how you communicate with model. It serves as the input
which elicits a response from the model. Selecting the right words,
phrases, symbols, and formats that guide the model in generating high-
quality and relevant results.
22. Demo
22 Oracle DatabaseWorld @ CloudWorld Copyright 息 2023, Oracle and/or its affiliates
Semantic Kernel for Java
24. New | Oracle Database 23ai
Next-Generation Converged Database Services
Over 300 major new features plus thousands of enhancements
Available on OCI and Azure
Major focus on
AI for Data features
Developer/Analyst features
Mission-Critical features
Addresses data management pain points that have frustrated customers forever
Copyright 息 2024, Oracle and/or its affiliates
25. Oracle Database 23ai - AI for Data
Algorithmic AI AI Vector Search Augmented Generative AI (LLMs)
Distributed AI AI Storage AI Developer Tools
Copyright 息 2024, Oracle and/or its affiliates
26. Oracle Database 23ai - Dev for Data
JSON Relational
Duality Views
Property Graph Views
JavaScript
Stored Procedures
Data Intent
Language
Lock-free Consistent Updates,
Long-running Transactions
True
Cache
Copyright 息 2024, Oracle and/or its affiliates
27. Oracle Database 23ai - Mission-Critical Data
RAFT Replication for
Globally Distributed Database
In-Database
Firewall
Real-Time SQL Plan
Management
RAC, Exadata, Data Guard
Simplicity and Scalability
Analytic SQL
Simplicity and Scalability
Priority
Transactions
Copyright 息 2024, Oracle and/or its affiliates
28. Free | Oracle Database 23ai For Developers
Oracle Always Free ADB
Available on OCI
ADB Free Container Image
Available for download
Oracle Database Free
Available as RPM, Docker
Image, VBox VM
Copyright 息 2024, Oracle and/or its affiliates | Confidential - Internal
Very Low Cost Supported Developer Edition of ADB, BaseDB, ExaDB-D, and ExaDB-C@C
30. Overview of Oracle DB Access with Java
Copyright 息 2024, Oracle and/or its affiliates
31. Oracle JDBC - Support for the Latest Java
Versions
Support to the latest Java versions
(11, 17, 21) and GraalVM
Project Loom - Virtual Threads
support
Java Virtual Threads and Pipelined
Database Operations
JDBC Standards - 4.2 and 4.3
Reactive Streams - Java Flow API
support
R2DBC, Reactive Streams Ingestion
(RSI)
Pipelined Database Operations
Data access is critical in
mission-critical applications!
Copyright 息 2024, Oracle and/or its affiliates
32. Oracle LiveLabs
Showcasing how Oracles solutions can
solve your business problems
500+
free workshops,
available or in
development
3.5 million
people have already visited
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developer.oracle.com/livelabs
learn something new at your pace!
600+
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33. 3 membership tiers
Connect: @oracleace facebook.com/OracleACEs
aceprogram_ww@oracle.com
500+ technical experts &
community leaders helping peers globally
The Oracle ACE Program recognizes & rewards individuals for
their technical & community contributions to the Oracle community
Nominate
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ace.oracle.com/nominate
Learn more - ace.oracle.com
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34. Create your FREE
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Go to
https://signup.cloud.oracle.com/
Copyright 息 2024, Oracle and/or its affiliates
35. Copyright 息 2024, Oracle and/or its affiliates
Technical References
Semantic Kernel - https://learn.microsoft.com/en-us/semantic-kernel/overview/
Semantic Kernel for Java 1.4.0 - https://devblogs.microsoft.com/semantic-
kernel/announcing-semantic-kernel-for-java-1-4-0/
Java Intelligent Application Templates - https://devblogs.microsoft.com/java/java-
intelligent-application-templates-in-the-azure-ai-gallery/
OpenAI - https://openai.com/
Oracle Database 23ai Free - https://www.oracle.com/uk/database/free/get-started/
Retrieval-Augmented Generation (RAG) with Spring AI, Oracle Database 23ai, and
OpenAI - https://rb.gy/e1mwt4
LangChain4J - Retrieval-Augmented Generation (RAG) with LangChain4j and the
Oracle Database 23ai https://rb.gy/pdmwmz
A GenAI Solution with Virtual Threads, JDBC Reactive Extensions, and Pipelined
Database Operations - https://rb.gy/jcxvph
Java / JDBC https://www.oracle.com/jdbc