Use DocsGPT for document-grounded enterprise assistants
Deploy DocsGPT to build private assistants that ingest documents, web sources, and enterprise connectors with cited answers.
Prerequisites
DocsGPT deployment; document connectors; supported LLM provider or local model
Installation
Use the upstream install or setup path that matches your environment:
- Make sure you have Docker installed
- git clone https://github.com/arc53/DocsGPT.git
- docker compose -f deployment/docker-compose.yaml down
Requirements and caveats from upstream:
- Either script will guide you through setting up DocsGPT. Five options available: using the public API, running locally, connecting to a local inference engine, using a cloud API provider, or build the docker image loc...
- (or use the specific docker compose down command shown after running the setup script).
Basic usage or getting-started notes:
DocsGPT is an open-source AI platform for building intelligent agents and assistants. Features Agent Builder, deep research tools, document analysis (PDF, Offi...
Source: https://github.com/arc53/DocsGPT
Extracted from upstream docs: https://raw.githubusercontent.com/arc53/DocsGPT/HEAD/README.md