Ollama Embeddings Explained | Text Embedding Tutorial in LangChain | Agentic AI Bootcamp

Description

Welcome to the Agentic AI Hands-On Bootcamp! 🚀 In this session, we’ll learn how to use Ollama Embeddings for text representation in LangChain — a key step in building intelligent retrieval and RAG pipelines. We’ll explore: What are embeddings in NLP How to generate embeddings using Ollama Comparison with OpenAI embeddings Integration in LangChain projects 📌 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 AI, LangChain & LLM tutorials! Ollama embeddings, LangChain embeddings, Agentic AI Bootcamp, LangChain tutorial, Nidhi Chouhan, CodeNidhi, embeddings in NLP, text embeddings, Ollama vs OpenAI, AI bootcamp, NLP tutorial, vector database, semantic search, RAG pipeline, LLM embeddings, LangChain step-by-step #Ollama #Embeddings #LangChain #AgenticAI #NidhiChouhan #CodeNidhi #AI #MachineLearning #LLM #RAG #LangChainBootcamp #Python #OpenAI #OllamaEmbeddings