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World Congress 2025 • Aug 20, 2025 • Session details

Building AI Applications with LangChain and Node.js

Julián Duque

Think Python is required for agentic AI? Discover how to leverage Node.js and LangChain to orchestrate complex LLM reasoning and build robust multi-agent architectures.

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#1 about 1 min

Building agentic artificial intelligence applications using Node.js

How to leverage JavaScript ecosystems to build scalable and capable generative artificial intelligence tools.

#2 about 2 min

Defining modern generative artificial intelligence and agent applications

How large language models are utilized to reason, plan, and integrate with diverse external tools.

#3 about 3 min

Understanding core parameters and mechanics of large language models

How inference processes, model scaling, and context limits directly influence the capabilities of AI foundations.

#4 about 2 min

Architectural patterns for developing robust generative AI applications

Differentiating use cases between conversational interfaces, retrieval architectures, and autonomous multi-agent networks.

#5 about 3 min

Navigating the components of the modern generative AI stack

Selecting the appropriate agent runtimes, vector databases, and evaluation tools for enterprise workflows.

#6 about 2 min

Standardizing interoperability with the model context and agent protocols

How emerging protocols allow cross-framework communication and extend the capabilities of isolated agents.

#7 about 3 min

Choosing the optimal ecosystem tools for Node.js workflows

Evaluating foundational models, vector databases, and SDK support to match specific programming backgrounds.

#8 about 4 min

Constructing scalable AI solutions using LangChain and LangGraph

Why modular syntax and multi-agent orchestration tools are effective options for JavaScript development.

#9 about 3 min

Writing foundational applications with LangChain expression language

How to configure model providers, invoke queries, and compose complex logic chains for basic operations.

#10 about 3 min

Implementing stateful chatbots and multi-agent hierarchical architectures

Handling memory persistence, augmented retrieval sequences, and collaborative agent delegation for sophisticated operational tasks.

#11 about 5 min

Testing practical implementations through an interactive code playground

Executing live examples of structured outputs, database querying, and hierarchical supervisory frameworks within Node.js.

#12 about 2 min

Debugging and evaluating agent executions using LangSmith observability

Tracking agent token usage, execution costs, and routing decisions to ensure reliable system behaviors.

Matching moments

2:35 min

Evaluating frameworks and abstraction levels for building AI agents

Ahmad Adel Ahmad Adel · Europe 2026 Virtual

3:36 min

Overview of generative AI and the presentation agenda

juarezjunior juarezjunior · World Congress 2024

44 sec

Building multi-agent systems using popular frameworks and libraries

Mary Grygleski Mary Grygleski · Europe 2026 Virtual

2:54 min

Utilizing Java frameworks to interface with AI models

Mary Grygleski Mary Grygleski · LIVE

2:55 min

Building AI interactions in Java with LangChain4j

Alex Soto Alex Soto · World Congress 2025

1:22 min

Leveraging the comprehensive generative artificial intelligence stack

Duan Lightfoot Duan Lightfoot · World Congress 2024

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