LlamaIndex Integration (OSS)

pip install flexorch-audit llama-index

from flexorch_audit.integrations.llamaindex import AuditedReader

reader = AuditedReader(
    min_grade="B",
    mask_pii=True,
    locales=["universal", "tr"],
)

documents = reader.load_data(
    file_paths=["contracts/agreement.pdf", "reports/q1.docx"]
)

for doc in documents:
    print(doc.metadata["quality_grade"])
    print(doc.metadata["pii_findings_count"])
    print(doc.text[:200])  # PII masked

from llama_index.core import VectorStoreIndex
from flexorch_audit.integrations.llamaindex import AuditedReader

reader = AuditedReader(min_grade="B", mask_pii=True)
documents = reader.load_data(file_paths=["data/"])

index = VectorStoreIndex.from_documents(documents)
query_engine = index.as_query_engine()

response = query_engine.query("What are the payment terms in the contracts?")
print(response)