Project - Building a RAG Chatbot from Your Website Data using OpenAI, Langchain and Vector Database

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Step 4: Storing Docs in Vector Store

We’ve gathered valuable content from our website and meticulously cleaned it. Now it’s time to organize this knowledge in a way our chatbot can easily access it later. Here’s where vector stores and Langchain come into play.

Think of this step as creating a knowledge base for your chatbot. The vector store acts like a library, carefully storing the processed website content for easy retrieval later.

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