Semantic Search on Documents using Vector Store Retriever | LangChain Tutorial

⭐️ Content Description ⭐️
In this video, we implement semantic search on PDF data using LangChain’s Vector Store Retriever. We cover how to process and embed text from PDFs, store it in a vector database, and efficiently retrieve relevant information using semantic similarity search. This tutorial provides a step-by-step guide to building an AI-powered document search system, making it useful for research, legal documents, and knowledge retrieval applications.
Code Link: https://tinyurl.com/langchaintutorial

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