Vector Embeddings Tutorial – Create an AI Assistant with GPT-4 & Natural Language Processing

Dive into the world of vector embeddings and their applications in machine learning and artificial intelligence through this comprehensive tutorial. Explore the concept of text embeddings, understand their various use cases, and learn how to generate custom text embeddings using OpenAI. Discover the relationship between vectors and databases, and gain hands-on experience in setting up a database for your project. Delve into Langchain and its capabilities, and ultimately apply your newfound knowledge to create your own AI assistant. From fundamental concepts to practical implementation, this tutorial equips you with the skills to leverage vector embeddings in your AI projects.

⌨️ Introduction
⌨️ What are vector embeddings?
⌨️ Text embeddings
⌨️ What are vector embeddings used for?
⌨️ How to generate our own text embedding with OpenAI
⌨️ Vectors and databases
⌨️ Getting our database set up
⌨️ Langchain
⌨️ Let’s build an Ai Assistant