Privacy-Friendly Applications with Ollama, Vector Functions, and LangChainJS by Pratim Bhosale

Why watch

This talk demonstrates how to build privacy-friendly AI applications by running LLMs locally using Ollama instead of sending data to cloud providers. It covers generating embeddings with Ollama for vector searches, building LangChainJS agents for tasks like document summarization and API interactions, and discusses real-world use cases for developers concerned about data privacy. Ideal for JavaScript developers wanting to build AI apps without exposing sensitive data to external services.