FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering

In 30 Sekunden

Was passiert ist

FinSAgent, a multi-agent framework using retrieval-augmented generation, answers questions about SEC filings by aligning queries with document structure and separating semantic similarity from evidential validity.

Warum es zählt

Financial analysts and engineers building QA systems over regulatory documents need better retrieval that respects filing structure and avoids false positives from semantic matching alone.

Achtung

The framework's effectiveness depends on understanding SEC filing structure; generalization to other document types or regulatory regimes remains unclear from this research.