YoVDO

Privacy-Friendly Applications with Ollama, Vector Functions, and LangChainJS

Offered By: JSConf via YouTube

Tags

Ollama Courses Vector Search Courses Privacy Courses Vector Functions Courses Embeddings Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore privacy-friendly AI application development in this JSConf talk by Pratim Bhosale. Learn how to build AI applications that keep data local using Ollama for running Large Language Models (LLMs) on your computer. Discover LangChain's capabilities in creating versatile agents for autonomous task handling while protecting sensitive information. Gain insights into cloud-based AI privacy concerns and the significance of local AI solutions. Delve into generating embeddings with Ollama for vector searches and see practical demonstrations of LangChain agents performing document summarization and API interactions. Examine real-world use cases and understand how these tools can be applied to maintain data privacy in AI applications. Benefit from the expertise of Pratim Bhosale, a Full Stack Developer, Developer Advocate at SurrealDB, and experienced speaker in the tech community.

Syllabus

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


Taught by

JSConf

Related Courses

The GenAI Stack - From Zero to Database-Backed Support Bot
Docker via YouTube
Ollama Crash Course: Running AI Models Locally Offline on CPU
1littlecoder via YouTube
AI Anytime, Anywhere - Getting Started with LLMs on Your Laptop
Docker via YouTube
Rust Ollama Tutorial - Interfacing with Ollama API Using ollama-rs
Jeremy Chone via YouTube
Ollama: Libraries, Vision Models, and OpenAI Compatibility Updates
Sam Witteveen via YouTube