Build RAG with FAISS | RAG Langchain | RAG with Langchain and Huggingface | Groq with RAG | RAG LLM

Description

In this video we will deploy rag project(groq with rag, document q n a rag with groq). This video shows how to build rag with faiss(langchain rag, rag llm, rag tutorial). This video is actually a tutorial for beginners(opensource rag with python, rag project end to end, rag with langchain and huggingface, rag project end to end). In this video I will show you how to use the faiss vector search with python for rag(rag project, how to use the faiss vector search with python for rag, rag langchain, retrieval augmented generation project, how to use the faiss vector search with python for rag). RAG Playlist 👇 https://www.youtube.com/playlist?list=PLmSlOWkfkugmhk0VckAUOsuQm9EKqVOxh Related Search Queries, build rag from scratch rag tutorial for beginners complete rag project opensource rag with python implementing rag with langchain and huggingface rag langchain huggingface rag building from scratch retrieval augmented generation rag with faiss langchain full rag tutorial full rag pipeline full rag implementation Connect to me, Linkedin --- https://www.linkedin.com/in/ashfaque-ahmed-shaikh/ Facebook --- https://www.facebook.com/VTechbox Twitter --- https://twitter.com/vtechbox Instagram --- https://www.instagram.com/vtechbox Email --- ashfaque.s510@gmail.com GitHub --- https://github.com/ashfaque-9x Telegram --- https://t.me/+rgayvC_exwdlMzU1 ============================= Support my work, https://www.paypal.com/paypalme/VirtualTechbox UPI --- ashfaque-9x@axisbank ============================= Try Digital Ocean's Cloud Services -- https://www.cloudways.com/en/?id=1620878 Related Links👇 https://www.anaconda.com/download https://www.python.org/downloads/ https://code.visualstudio.com/download https://github.com/astral-sh/uv https://console.groq.com/keys Notebook 👇 https://drive.google.com/file/d/1sxsk-qd1VFCNWOJ8p0_2IVGVIOl6k6B-/view 00:00 Introduction 00:46 Prerequisites 01:29 Environment setup with UV package manager 09:05 Load pdf, process pdf and create chunks 16:24 Initialize huggingface embeddings model and create FAISS vector store 20:02 Define LLM, promt template and retriever 25:10 Create RAG chain using langchain expression language(LCEL) and query the RAG chain #rag #llm #embeddings