AI assistant for document management Using Lang Chain and Pinecone
Unknown authors
Abstract
In this paper, we demonstrate a project that used the LangChain and LLM Model to create a PDF chatbot.A framework called LangChain makes it simpler to create chatbots and scalable AI/LLM applications.The LLM Model is a huge language model that may be used to create text, translate across languages, create various types of creative material, and provide you with helpful answers to your inquiries.Our approach leverages the strengths of both LangChain and LLM Model to create a chatbot that can answer questions about PDF files.The chatbot is trained on a dataset of PDF files, and it uses the LLM Model to generate text responses to user queries.The chatbot is also able to access and process information from the real world through Google Search, which allows it to provide more comprehensive and informative answers The project used Pinecone to store the vectors of the PDF files.To store embeddings and the PDF in text for eventual retrieval of related documents, we have used vectorstore Pinecone.React JS was used for the front end to develop a webpage to interact with the chatbot.Our work demonstrates the potential of using LangChain and LLM Model to build chatbots that can interact with users in a natural and informative way.We believe that our approach can be used to create a variety of chatbots that can be used for different purposes, such as customer service, education, and research.The chatbot could be used to answer questions about products or services, to provide tutoring or educational support, or to conduct research on a variety of topics