Your private ChatGPT alternative

Securely unlock knowledge from your business documents. Give your employees' a second-brain.

About The Project

Docq offers private and secure GenAI that unlocks knowledge from your organisation's documents, with minimal onboarding and operational effort.

Design tenets:

• Data stays within your boundary: bring ML models to the data. Cloud-vendor-hosted & self-hosted LLMs within the same cloud account to address data security and privacy concerns.
• Self-hosting: with your organisation's choice of cloud vendor. Minimal onboarding and operational effort. Can support air-gap use cases with local models.
• Multi-model: ability to utilise a variety of models and ability adopt new models quickly.
• Multi-modal: supports text today. Image, video, and audio formats are on the roadmap.
• Extensible: Abstractions to easily add custom data sources. Plugin system for extending application, from UI to database.

We offer Docq as a turnkey solution to lower the barrier for your organisation to adopt the latest AI innovation safely.

• Open-source (AGPLv3) to address your organisation's security and compliance needs.
• Commercial support available via a UK-based entity.
• Re-licensing option also available.

Vision

Be the goto OSS GenAI application stack for the privacy and security conscious.

Demo

A demo app is hosted by Streamlit Community Cloud, subject to frequent data refresh and feature update.

Credentials for admin user:

• username: docq
• password: Docq.AI

There are also recordings (Loom) to demonstrate Docq's major features:

• Ask your documents vs shared spaces
• Multi-user access

Deploy Your Own Instance

Deploy to Azure in 15mins

Click and follow the Azure wizard

For more details see section Deploy to Azure: 15 Minutes and Secure

Deploy to AWS in 15mins

  On the roadmap.

Deploy to GCP in 15mins

  On the roadmap.

Documentation

Documentation site is hosted by GitHub Pages.

• Overview
• User Guide
• Developer Guide

Roadmap

We aim to support the following features in the near future:

• More data ingestion options such as SaaS data connectors and network storage options
• A plugin platform and ecosystem
• Model fine-tuning as an option for self-hosted, open-source LLMs

We also have plan to offer enterprise add-ons such as SSO support and enhanced audit.

Stay tuned!

Contact

Docq.AI - @docqai - support@docq.ai

Project Link: https://github.com/docqai/docq/

Licenses

Distributed under multiple licenses:

• AGPLv3 See LICENSE for more information.
• Commercial licenses available

Copyright (C) 2023-2024 FABR Ltd t/a Docq.AI