Hugging Face Embeddings in LangChain | Text Embedding Tutorial | Agentic AI Bootcamp

Description

Welcome back to the Agentic AI Hands-On Bootcamp! 🚀 In this session, you’ll learn how to use Hugging Face Embeddings in LangChain to convert text into high-dimensional vectors for semantic understanding and retrieval tasks. We’ll cover: What are text embeddings How to use Hugging Face models for embeddings Comparing Hugging Face vs OpenAI embeddings Using embeddings for Retrieval-Augmented Generation (RAG) 📌 GitHub Repository (Code + Notes): 👉 https://github.com/dearnidhi/Agentic-AI-HandsOn-Bootcamp 📩 Connect with me: 🔗 LinkedIn: https://www.linkedin.com/in/nidhi-chouhan-544650b4/ 📸 Instagram: @dear_nidhi | @codenidhi ✉️ Email: nidhiyachouhan12@gmail.com ✨ Don’t forget to LIKE 👍, SHARE 📢 & SUBSCRIBE 🔔 for more LangChain, Hugging Face, and AI tutorials! Hugging Face embeddings, LangChain HuggingFace, Agentic AI Bootcamp, LangChain tutorial, Nidhi Chouhan, CodeNidhi, embeddings in NLP, Hugging Face transformers, text embeddings, semantic search, RAG pipeline, vector database, NLP tutorial, AI bootcamp, embedding models, LLM embeddings #HuggingFace #LangChain #Embeddings #AgenticAI #NidhiChouhan #CodeNidhi #AI #MachineLearning #NLP #LLM #TextEmbeddings #RAG #LangChainBootcamp #Python #Transformers