In this video we explore a low cost alternative to getting on the AI-bandwagon without breaking the bank. The tech stack presented here lowers the barriers to entry and enables you to start learning and prototyping.
We'll show you how to harness the power of open-source tools and lightweight technologies like MongoDB Atlas, Jupyter Notebooks, Python, Pymongo, and SBERT Sentence Transformers to build your very own AI toolkit—no expensive API keys required!
Whether you're a student, indie developer, or anyone looking to explore AI without breaking the bank, this tutorial covers everything you need to get started. We'll walk through how to set up your environment, use sentence transformers for semantic search, and leverage MongoDB for efficient data storage and retrieval. Plus, we’ll show you how to apply these tools for real-world applications like document search, question answering, and more!
What you'll learn:
How to build an affordable AI toolkit using Python, MongoDB Atlas, and other free tools
The power of Sentence Transformers (SBERT) for semantic understanding
How to perform semantic search without expensive APIs
Tips for efficient development with minimal resources
Tech stack:
MongoDB Atlas
Jupyter Notebooks
Python
Pymongo
SBERT Sentence Transformers
If you're ready to dive into AI without spending a fortune, hit that like button, subscribe for more tech tutorials, and let's start building smarter, affordable AI solutions together!