💬 RAG Chatbot: Financial Report Analyst

A production-ready chatbot that analyzes company financial reports using RAG, Langchain, FastAPI, and Streamlit.

📌 Overview

This intelligent chatbot answers complex financial questions by retrieving context from real-world company reports using Retrieval-Augmented Generation (RAG). It supports multiple users and provides contextual, LLM-based responses grounded in real financial data.

Current supported companies: Apple, Google, Microsoft, Meta, Morgan Stanley

🚀 Key Features

• 📄 Financial Report QA using semantic search on real company data
• 🔁 RAG Architecture with Langchain for accurate, document-grounded answers
• ⚙️ FastAPI Backend for multi-user chat sessions and chain orchestration
• 💬 Streamlit Frontend for uploading reports and interactive Q&A
• 👥 Multi-User Support with chat memory and secure session handling

🛠️ Tech Stack

• Backend: FastAPI
• Frontend: Streamlit
• LLM Framework: Langchain
• Vector Store: FAISS or ChromaDB
• LLMs: OpenAI or Hugging Face models

📄 Use Cases

• Financial statement analysis
• Earnings report summarization
• Investment research assistants
• Corporate financial compliance bots

📬 Contact

Charvi Singh
📧 [email protected]
🔗 LinkedIn