langchain-chat-with-documents and Realtime-Document-Chat-System
These are competitors offering similar document-to-chat interfaces—both use Langchain to enable question-answering over PDF documents, with the main technical difference being that A supports multiple document formats (pdf, docx, txt) while B is PDF-specific and adds a Streamlit UI layer.
About langchain-chat-with-documents
ciocan/langchain-chat-with-documents
Chat with documents (pdf, docx, txt) using ChatGPT and Langchain
This tool helps you quickly get answers and insights from your documents without having to read through them manually. You upload your PDFs, DOCX, or text files, and then you can ask questions and have a chat-like conversation with the content. This is ideal for anyone who needs to extract information from multiple documents, such as researchers, analysts, or students.
About Realtime-Document-Chat-System
praj2408/Realtime-Document-Chat-System
In this project, we used Langchain to create a ChatGPT for your PDF using Streamlit. We built an application that allows you to ask questions about a PDF document and get answers directly from an LLM (Large Language Model), like OpenAI's ChatGPT.
This system helps professionals quickly find specific information within large PDF documents. You input a PDF file and ask questions in plain language, and it provides direct answers or relevant sections. It's ideal for anyone who regularly sifts through extensive PDF reports, legal documents, or academic papers to extract key details.
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