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Integrating AI and machine learning into Node.js in 2026

How to integrate artificial intelligence and machine learning into Node.js applications using local inference, external APIs, and RAG, with practical examples, recurring challenges, and ecosystem trends.

For

Developers building products and services with Node.js.

Topics

Node.js · Artificial intelligence · Machine learning · Local inference · APIs · RAG

What people will take away

  • Choose between local inference, external APIs, and RAG from the real problem, not the hype.
  • Design for security, observability, and recovery from the first integration.
  • Connect AI experiments to use cases that deliver measurable product value.
Emerson Braun presenting the Node.js and AI talk on stage
Emerson Braun presenting at RecrutaTalks in Curitiba.
Emerson Braun presenting the talk agenda on a projected screen
The talk opens with its practical agenda and speaker context.
Audience watching the Node.js and AI talk at RecrutaTalks
The audience during the RecrutaTalks session.
Palácio Avenida in Curitiba at night
The RecrutaTalks venue in Curitiba.

Where this talk has appeared

RecrutaTalks Curitiba — January 2026

In person · Delivered · Jan 2026

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