docqai/docq

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42
/ 100
Emerging

Brings ML models to data within your cloud boundary using vendor-hosted or self-hosted LLMs, with extensible plugin architecture for custom data sources and multi-model support. Deploys to Azure in 15 minutes via ARM templates, supports air-gapped environments with local models, and handles multi-user access with shared document spaces. Roadmap includes SaaS connectors, multi-modal formats (image/video/audio), and model fine-tuning for open-source LLMs.

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

76

Forks

13

Language

Python

License

AGPL-3.0

Last pushed

Oct 12, 2024

Commits (30d)

0

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