rag-qa and document-qa-rag-system
About rag-qa
ruankie/rag-qa
RAG-QA is a free, containerised question-answer framework that allows you to ask questions to your documents in an intuitive way
This tool helps you quickly get answers from lengthy documents like financial reports or research papers without reading them entirely. You upload a PDF document, ask a question in plain language, and it provides a direct answer based on the document's content. Anyone who needs to extract specific information from large text documents, such as analysts, researchers, or business professionals, would find this useful.
About document-qa-rag-system
ZohaibCodez/document-qa-rag-system
A simple Retrieval-Augmented Generation (RAG) project built with LangChain and Streamlit. Upload documents (PDF/TXT) and interact with them using natural language questions powered by embeddings and vector search.
This tool helps you quickly get answers from your documents by turning any PDF or plain text file into an interactive Q&A experience. You upload your document, and then you can ask questions about its content in everyday language, getting direct answers back. It's ideal for professionals, researchers, or students who need to extract specific information or summarize key points from reports, articles, or books without manually sifting through pages.
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