How to use CSV files in vector stores with Langchain

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Retrieval-Augmented Generation (RAG) is a technique for improving an LLM’s response by including contextual information from external sources. In other terms, it helps a large language model answer a question by providing facts and information for the prompt. For the purposes of this tutorial, we will implement RAG by leveraging a Chroma DB as a vector store with the FDIC Failed Bank List…

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