Alex Soto

AI Agents Graph: Your following tool in your Java AI journey

Is your Java AI application turning into spaghetti code? Learn how to orchestrate complex, multi-step agents as stateful graphs for more robust and maintainable enterprise solutions.

AI Agents Graph: Your following tool in your Java AI journey
#1about 1 minute

Why Java is a strong choice for enterprise AI development

Java offers advantages over Python in enterprise settings due to performance, dependency management, and its mature ecosystem for large corporations.

#2about 4 minutes

An overview of the LangChain4j framework for Java

LangChain4j simplifies AI development in Java by providing abstractions for models, memory, prompt templates, and function calling via AI services.

#3about 3 minutes

Building a simple theme park chatbot with LangChain4j

A practical demonstration shows how to build a theme park chatbot that answers questions using document retrieval and function calls.

#4about 3 minutes

Identifying the problems with monolithic AI agents

Simple agent architectures that send all context to the model at once lead to higher costs, slower responses, and increased hallucinations.

#5about 3 minutes

Using LangGraph4j to create stateful, cyclical agent graphs

LangGraph4j provides a framework for defining complex, multi-step agentic workflows as stateful graphs with nodes, edges, and a shared state.

#6about 5 minutes

Demonstrating a non-AI graph with conditional logic

A code walkthrough shows how to define a graph's state, create nodes for functions, and use conditional edges to route the execution flow.

#7about 3 minutes

Implementing human-in-the-loop workflows with checkpoints

LangGraph4j supports pausing a graph's execution at a checkpoint, allowing for human review or input before resuming the process.

#8about 6 minutes

Designing an advanced AI agent for customer service emails

A multi-step graph demonstrates an AI agent that categorizes emails, searches the web, drafts responses, and uses guardrails to verify its own output.

#9about 1 minute

Accessing the presentation slides and demo code

A QR code is provided to download the presentation slides, which contain links to all the demonstration code shown in the talk.

Related jobs
Jobs that call for the skills explored in this talk.

Machine Learning Engineer

Picnic Technologies B.V.

Picnic Technologies B.V.
Amsterdam, Netherlands

Intermediate
Senior
Python
Structured Query Language (SQL)
+1

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