{% extends "main.html" %} {% block tabs %} {{ super() }}
Self-hosted · MIT · runs on your stack

Document intelligence for RAG, on your own infrastructure

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.

python
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
{% endblock %}