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app.py		app.py
requirements.txt		requirements.txt

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ChatMultiplePDF

A Streamlit UI where we can upload pdf files of upto 200 MB.

The texts of these pdf files are embedded into vector using GoogleGenerativeAIEmbeddings.

These vector embeddings are stored locally in a form of table.

This table is queried when the user asks a question.

Using Facebook AI Similarity Search(FAISS) the similarity search happens and the results are returned.