WWIIITT/enterprise-financial-intelligence-agent
Enterprise financial intelligence AI agent platform with RAG, SEC EDGAR ingestion, FRED macro analysis, SQL analytics, LangGraph orchestration, security guardrails, evaluation, and observability.
SUMMARY AI summary by gpt-5-mini
Aurelia Ledger is a portfolio-grade AI agent platform that demonstrates how a financial services firm can automate internal research, compliance review, macro analysis, structured financial analytics, evaluation, and observability. It’s intended as a working full‑stack showcase for Senior AI Engineers and AI Solution Architects (and teams evaluating AI automation in finance). Key features: - Citation-aware RAG over internal policies and SEC filings with section-level citations - Live SEC EDGAR ingestion, SEC Company Facts in PostgreSQL, and Qdrant vector retrieval - Macro analysis via FRED (with local fallback) and a SQL analytics agent - LangGraph workflow orchestration with deterministic agent routing - Security preflight (PII masking, prompt-injection checks) and deterministic evaluation engine (JSON/MD reports) - Observability dashboard, React frontend, FastAPI backend, Docker Compose infra, and VitePress documentation and demos.
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GitHub Topics
Language breakdown (by bytes)
Owner
AI Engineer | Computer Vision | Deep Learning
Dates
| Created on GitHub | 2026-05-12 |
| Last push | 2026-05-16 |
| First seen here | 2026-05-16 |
| Last fetched | 2026-05-20 16:16 |
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