Generative AI for NodeJs: OpenAI, LangChain - TypeScript

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

A split-screen view showing a code editor with TypeScript code for an OpenAI FlightAssistant on the left and a male instructor speaking into a microphone on the right. — Preview 1 of 4
The screen displays TypeScript code defining an OpenAI chat completion with tools for retrieving flight information, alongside an instructor explaining the implementation.

A split-screen view showing a terminal window on the left with a chatbot conversation about BMW speed and a man speaking into a microphone on the right. — Preview 2 of 4
The terminal output demonstrates a functional AI chat application answering a user query regarding the speed capabilities of different BMW models.

A split-screen view showing a TypeScript code editor with OpenAI chat completion logic on the left and an instructor speaking into a microphone on the right. — Preview 3 of 4
This frame displays TypeScript source code for managing chat context and token limits using the OpenAI API, alongside an instructor explaining the implementation details.

A presentation slide with a starry background listing topics: Embeddings, Similarity, and Vector DBs like Pinecone and Chroma, alongside a video feed of an instructor speaking into — Preview 4 of 4
The slide outlines core concepts for building AI applications, specifically highlighting embeddings, similarity metrics, and vector databases such as Pinecone and Chroma.