README.md

metadata

title: Finance RAG Analyst
emoji: 📉
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 6.5.1
app_file: app.py
pinned: false
license: mit

Financial RAG Demo

This demo showcases a constrained Financial RAG pipeline designed to reduce hallucinations through explicit routing and hard constraints, not prompt tricks.

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What this demo does

• Routes queries based on detected company entities (Apple / Microsoft)
• Prevents accidental cross-company document mixing
• Processes financial tables as images to preserve structure
• Explicitly rejects unsupported or ambiguous queries

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How to test it

Try the following queries:

• What was Apple’s total revenue in 2023?
• What is Microsoft’s operating income?
• Compare Apple and Microsoft revenues → rejected or limited
• What was Google’s revenue in 2023? → rejected

The UI shows retrieved pages and scores to make the pipeline inspectable.

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Important limitations

• Explicit multi-company questions may trigger cross-entity reasoning
• Source-constrained prompts are not strictly enforced
• Dataset is intentionally small (demo-only)

For full technical details and design discussion, see the GitHub repository linked on the CV.