GraphCanon updated 1w · GitHub synced 1w
Decision brief
knowledge_gpt is a Python-based tool with Streamlit UI, MIT licensed, for generating accurate document responses with citations.
Good fit when
- When you need to generate answers from documents alongside instant citations
- For local deployment environments using Docker or direct setup methods
Avoid when
- If your project exclusively requires web-based services without local deployments
- In scenarios where real-time citation generation is not necessary
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Archived (807d since push)
- As of 1w
- Provenance
- Not a fork · Personal account
- As of 1w
- Security (OSV)
- 243 low (243 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install knowledge_gptSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Python-based repository that provides a Streamlit application to generate accurate responses with instant citations from uploaded documents. Can be deployed locally via Docker or directly using the provided setup instructions.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 15, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 15, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 15, 2026
Categories
Tags
README
Installation
Follow the instructions below to run the Streamlit server locally.
Build with Docker
Run the following commands to build and run the Docker image.
cd knowledge_gpt
docker build -t knowledge_gpt .
docker run -p 8501:8501 knowledge_gpt
Open http://localhost:8501 in your browser to access the app.
License
Distributed under the MIT License. See LICENSE for more information.
For agents
This page has a .md twin and JSON over the API.