It is a Python program enabling communication with multiple PDFs through natural language. It responds to questions about the PDFs using a language model, offering accurate answers relevant to the document content. The app exclusively addresses queries related to the loaded PDFs.
The application follows these steps to provide responses to your questions:
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PDF Loading: The app reads multiple PDF documents and extracts their text content.
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Text Chunking: The extracted text is divided into smaller chunks that can be processed effectively.
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Language Model: The application utilizes a language model to generate vector representations (embeddings) of the text chunks.
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Similarity Matching: When you ask a question, the app compares it with the text chunks and identifies the most semantically similar ones.
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Response Generation: The selected chunks are passed to the language model, which generates a response based on the relevant content of the PDFs.