Embeddings with OpenAI API in LangChain | Text to Vector Conversion | Agentic AI Bootcamp

Description

Welcome back to the Agentic AI Bootcamp 🚀 In this episode, we’ll dive deep into one of the most crucial steps in building AI-powered applications — creating text embeddings using the OpenAI API inside LangChain. You’ll learn: 💡 What are Embeddings and why they matter ⚙️ How to generate embeddings using OpenAI API 🧩 How to integrate embeddings into LangChain pipelines 💻 Hands-on demo with text chunks and vector representations 🧠 How embeddings power RAG, semantic search, and AI chatbots By the end of this video, you’ll understand how to transform text into numerical vectors — the foundation of modern LLM applications! 💪 📌 GitHub Repository (Code + Notes): 👉 https://github.com/dearnidhi/Agentic-AI-HandsOn-Bootcamp 📩 Contact: ✉️ Email: nidhiyachouhan12@gmail.com 💼 LinkedIn: https://www.linkedin.com/in/nidhi-chouhan-544650b4/ 📸 Instagram: @dear_nidhi | @codenidhi ✨ Don’t forget to LIKE 👍, COMMENT 💬, SHARE 📢, and SUBSCRIBE 🔔 to keep learning AI with Code Nidhi in the Agentic AI Bootcamp series! #codenidhi #nidhichouhan #AgenticAIBootcamp #LangChain #OpenAI #Embeddings #TextEmbeddings #VectorDatabase #AI #Python #LangChainTutorial #LangChainForBeginners #AIlearning #LLM #RAG #SemanticSearch #AIpipeline #AgenticAI #CodeNidhi #NidhiChouhan