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Welcome back to the Agentic AI Bootcamp ๐ In this episode, weโll dive deep into one of the most crucial steps in building AI-powered applications โ creating text embeddings using the OpenAI API inside LangChain. Youโll learn: ๐ก What are Embeddings and why they matter โ๏ธ How to generate embeddings using OpenAI API ๐งฉ How to integrate embeddings into LangChain pipelines ๐ป Hands-on demo with text chunks and vector representations ๐ง How embeddings power RAG, semantic search, and AI chatbots By the end of this video, youโll understand how to transform text into numerical vectors โ the foundation of modern LLM applications! ๐ช ๐ GitHub Repository (Code + Notes): ๐ https://github.com/dearnidhi/Agentic-AI-HandsOn-Bootcamp ๐ฉ Contact: โ๏ธ Email: nidhiyachouhan12@gmail.com ๐ผ LinkedIn: https://www.linkedin.com/in/nidhi-chouhan-544650b4/ ๐ธ Instagram: @dear_nidhi | @codenidhi โจ Donโt forget to LIKE ๐, COMMENT ๐ฌ, SHARE ๐ข, and SUBSCRIBE ๐ 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