Studying LangChain Embedding Models ☕️ 📚| My AI Engineer Workflow

Description

Today I studied LangChain Embedding Models and made it aesthetic ✨ Working with embeddings is one of the most powerful parts of AI — they convert text into numbers so models can search, compare, recommend, and understand meaning. In this video, I’m learning: 📌 What embedding models do 📌 How LangChain uses them 📌 Python code for embeddings 📌 Why embeddings are the foundation of RAG systems 📌 How open-source & closed-source models differ This is a part of my AI Engineer learning journey, mixing: ☕️ Aesthetic study vibes 👩🏻‍💻 Real LangChain code 📚 Productivity setup More AI + aesthetic study videos coming soon 🩵 ✨ My AI Study Playlist: (you can add the link once playlist exists) 📩 If you want videos on: • LangChain basics • RAG systems • Embeddings • Vector databases • Python + AI learning Comment below! langchain embeddings, llm embeddings, rag system langchain, ai engineer study vlog, aesthetic study ai, python ai projects, learn langchain, open source llms, vector search tutorial