In this blog, I will demonstrate how we can leverage LangChain to build an application that enables users to engage in conversations with their documents.

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Learn how to leverage LangChain to build an AI-powered document chat bot that allows users to engage in conversations with their documents. The post covers the environment setup, splitting documents into chunks, utilizing embeddings, making conversation persistent, and handling user input. It also provides a step-by-step guide for running the application and concludes with a summary of the implementation.

Document Chat Bot — AI-Powered Interface with LangChain and Streamlit

Utilizing Embeddings for Data Chunks and Conversion to Vectors with OpenAIEmbeddings / HuggingFaceInstructEmbeddings