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Ceating a chat bot using an LLM with any Vector database using lanchain library . Technical Test: Create a chatbot that is trained based on

Ceating a chat bot using an LLM with any Vector database using lanchain library . Technical Test: Create a chatbot that is trained based on local data for example a pdf about a big company or organization that contains a lot of information about the particular company. Extract text and data, convert data into numerical vectors, and store both vectors and document details in a database. The chatbot needs to take user queries/input and return responses based on content from these PDF documents. When no relevant results are found in the PDF, it should rely on content from an LLM to frame the response. If there is still no appropriate answer, it should provide a user-friendly response. The UI interface should have the look and feel of a chatbot.

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