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Build AI Applications with LangChain and Node.js

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44

min

Build AI Applications with LangChain and Node.js

Build AI Applications with LangChain and Node.js

Build AI Applications with LangChain and Node.js

Build AI Applications with LangChain and Node.js

publish date

Oct 15, 2024

duration

44

min

Difficulty

Intermediate

Beginner

Beginner

Beginner

Case details

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.

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About Author

Principal Developer Advocate

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.

Principal Developer Advocate

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.

Principal Developer Advocate

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.

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910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.

Questions?

Chat with Us!

910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.

Questions?

Chat with Us!

910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.