Uploaded April 2025 | Updated September 2026, 2 weeks ago
Julián Duque
linkedin.com/in/juliandavidduque
Principal Developer Advocate at Heroku
heroku.com
Node.js Global Summit'25 - AI Edition
event.geekle.us/node
Abstract:
In this session, we'll dive into the process of creating AI applications using the LangChain framework and Node.js. You'll learn how to effectively integrate Large Language Models (LLMs) into your projects, and how to use embeddings to vectorize text-based documents. This embeddings will be stored in a vector database, we will use pgvector, a extension for supporting vectors in PostgreSQL, which is crucial for handling similarity search queries for Retrieval-Augmented Generation (RAG) applications.
More about speaker:
Julián is a Principal Developer Advocate at Heroku, with a strong focus on community, education, Node.js, and JavaScript. He loves sharing knowledge and empowering others to become better developers.
Julián Duque
linkedin.com/in/juliandavidduque
Principal Developer Advocate at Heroku
heroku.com
Node.js Global Summit'25 - AI Edition
event.geekle.us/node
Abstract:
In this session, we'll dive into the process of creating AI applications using the LangChain framework and Node.js. You'll learn how to effectively integrate Large Language Models (LLMs) into your projects, and how to use embeddings to vectorize text-based documents. This embeddings will be stored in a vector database, we will use pgvector, a extension for supporting vectors in PostgreSQL, which is crucial for handling similarity search queries for Retrieval-Augmented Generation (RAG) applications.
More about speaker:
Julián is a Principal Developer Advocate at Heroku, with a strong focus on community, education, Node.js, and JavaScript. He loves sharing knowledge and empowering others to become better developers.
