Abstract

The AI Financial Document Assistant is an intelligent system that processes and analyses large financial documents efficiently. It allows users to upload financial reports in PDF format and interact with them using natural language queries. By leveraging OpenAI’s GPT models and FAISS (Facebook AI Similarity Search), the system ensures fast and accurate information retrieval. The solution is optimized for handling large Profit & Loss (P&L) statements and financial documents while maintaining performance and response accuracy. The user-friendly Streamlit interface provides seamless file upload and query functionalities, making financial document analysis accessible to professionals across industries.

Methodology

1. Document Ingestion & Preprocessing:
   • Users upload PDF documents via the Streamlit interface.
   • The file is read and converted into text using PyPDFLoader.
   • The extracted text is split into manageable chunks using RecursiveCharacterTextSplitter, with optimized chunk sizes and overlaps to preserve context.

2. Vectorization & Storage:
   • The processed text chunks are embedded using OpenAI’s embedding models to convert textual
   information into numerical vectors.
   • The vectorized data is stored using FAISS, which enables fast similarity searches for efficient
   query handling.

3. Query Processing & Response Generation:
   • The user submits a natural language query via the UI.
   • The system retrieves the most relevant text chunks from the FAISS vector store.
   • These chunks are passed to OpenAI’s ChatGPT, forming a context-aware response.
   • The response is displayed in a structured format within the Streamlit interface.

Results

The AI Financial Document Assistant demonstrates:

✅ High Efficiency: Processes large financial PDFs and handles multiple queries with minimal performance impact.
✅ Fast Query Responses: FAISS enables instant retrieval of relevant information from large documents.
✅ Accurate Insights: OpenAI’s GPT model generates coherent and relevant responses based on document content.
✅ User-Friendly Interface: The Streamlit UI ensures seamless file uploads, queries, and responses without technical complexity.
✅ Scalability: Can be expanded to support additional document formats and domain-specific financial analysis.