AutoRAG

AutoRAG is a compliance-focused RAG (Retrieval-Augmented Generation) engine that enforces citation requirements and content filtering for regulated environments.

Features

• Citation Enforcement
  • Automatic source tracking
  • Citation validation
  • Audit trail generation
• Compliance Filtering
  • Content policy enforcement
  • Regulatory requirement checking
  • Risk assessment
• Integration
  • Model-agnostic design
  • REST API support
  • Python SDK

Quick Start

from autorag import AutoRAG

rag = AutoRAG(
    knowledge_base="path/to/docs",
    citation_required=True,
    compliance_rules=["hipaa", "gdpr"]
)

response = rag.query("What are the side effects of X?")
print(response.citations)  # List of sources
print(response.compliance_score)  # Compliance rating

Documentation

For detailed documentation, visit our GitHub repository.