PDF Agent is a chatbot application that processes PDF documents, extracts metadata, and allows users to interact with the content through a chat interface. It is constructeed using the Langchain framework and utilizes OpenAI's language model to generate responses based on the conversation history and relevant document context. The workflow includes setting a vector store for document embeddings, processing PDF files, and managing conversation memory.
- Load and process PDF documents.
- Extract metadata such as date and author.
- Maintain conversation history with memory management.
- Generate AI responses using document context and chat history.
The following dependencies are required for the PDF Agent to function:
langchainlangchain-chromalangtrace-python-sdkpython-dotenvopenailangchain-community
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Run the Application: Execute the following command to start the PDF Agent:
python PDF_agent.py path_to_your_pdf.pdf
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Interact with the Chatbot: Once the application is running, you can enter questions related to the PDF document. The chatbot will respond based on the content of the PDF and the conversation history.