Breakthrough Application of Unstructured Data Processing to Chat Scenarios
Different from traditional chatbots that only support text input, Zola's file upload function extends the dimension of AI interaction to the document domain. Its technical realization is based on the browser File API for front-end preprocessing, and the integrity of the file is ensured through Base64 encoded transmission. The system's built-in parser can extract PDF text content or image OCR results, and transform them into a context that the model can understand through hint engineering.
In actual tests, PDF files of academic papers within 10MB can be used to extract key information within 15 seconds, with an accuracy rate of 89%. This feature is particularly suitable for researchers to quickly access key points of the literature, or business people to analyze the terms of the contract. Compared to stand-alone document processing software, Zola's integrated solution eliminates the data export/import intermediate links.
In terms of security mechanisms, the system defaults to a client-side local processing mode, and sensitive documents are not persistently stored on the server. The future version plans to integrate Supabase to realize cloud file management, and will then support cross-device dialog continuation function to further enhance the application depth of professional scenarios.
This answer comes from the articleZola: Open Source AI Chat Web App with Document Upload and Multi-Model SupportThe
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