I Love Tech Romania - Blazingly Fast GenAI App Development With Java and Spring AI

Mar 14, 20250 likes13 views

Juarez Junior

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

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

Interactive odoo dashboards for sales, CRM , Inventory, Invoice, Purchase, Pr...AxisTechnolabs

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Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell

It's time you stopped letting your telemetry data pressure your budgets and get in the way of solving issues with agility! No more I say! Take back control of your telemetry data as we guide you through the open source project Fluent Bit. Learn how to manage your telemetry data from source to destination using the pipeline phases covering collection, parsing, aggregation, transformation, and forwarding from any source to any destination. Buckle up for a fun ride as you learn by exploring how telemetry pipelines work, how to set up your first pipeline, and exploring several common use cases that Fluent Bit helps solve. All this backed by a self-paced, hands-on workshop that attendees can pursue at home after this session (https://o11y-workshops.gitlab.io/workshop-fluentbit).

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