Building a Retrieval-Augmented Generation (RAG) Chatbot with LangChain, Hugging Face, and AWS
<p>SIn this video, I’ll guide you through the process of creating a Retrieval-Augmented Generation (RAG) chatbot using open-source tools and AWS services, such as LangChain, Hugging Face, FAISS, Amazon SageMaker, and Amazon TextTract.</p>
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<p>We begin by working with PDF files in the Energy domain. Our first step involves leveraging Amazon TextTract to extract valuable information from these PDFs. Following the extraction, we break down the text into smaller, more manageable chunks. These chunks are then enriched using a Hugging Face feature extraction model before being organized and stored within a FAISS index for efficient retrieval.</p>
<p><a href="https://julsimon.medium.com/building-a-retrieval-augmented-generation-rag-chatbot-with-langchain-hugging-face-and-aw-940a06853ac2"><strong>Click Here</strong></a></p>