This Langflow flow creates a document analysis assistant that can read files and perform calculations on the data within them. The flow connects a chat input to an AI agent that has access to two specialized tools: a file reader and a calculator. Users can upload documents and ask questions about their contents, with the agent able to both extract information from files and perform mathematical operations on the data.

The agent is configured with specific instructions to act as a data-aware assistant that only relies on information found in uploaded files. It can process various file formats including CSV, JSON, TXT, PDF, and office documents through an advanced document parser. When users ask questions, the agent searches through the uploaded files to find relevant information and clearly indicates when data is not available in the documents.

The calculator tool enables the agent to perform mathematical analysis on data extracted from the files. This includes calculations like averages, totals, percentages, growth rates, and other statistical operations. The agent can combine information from multiple uploaded files and perform complex calculations to provide insights based on the actual data rather than making assumptions. The results are displayed through a chat output interface that maintains conversation history.

The flow can be extended using other Langflow components to add more sophisticated capabilities. You could integrate vector stores like Chroma or FAISS for semantic search across large document collections, add web search functionality through Tavily to supplement file data with current information, or connect API request components to automatically send analysis results to external systems like CRMs or reporting dashboards. Additional processing nodes could handle specialized document types or implement custom business logic for specific analysis requirements.