Parse, classify, split, and extract from PDF, DOCX, PPTX, and images into searchable, cited chunks — then query your documents and SQL databases in one natural-language call, and serve it all to agents over MCP.
from ingestlib.services import ingest, retrieve ingest("finance-10k.pdf") # parse → classify → split → embed → upsert result = retrieve("what were the total revenues?") print(result.context) # ranked, cited chunks — doc · page · section