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knowledge_gpt

mmz-001/knowledge_gpt

Accurate answers and instant citations for your documents.

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

75views this month

1.6k stars782 forksLast push May 29, 2024 Python MIT

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

knowledge_gpt alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Archived (843d since push); As of Sep 20, 2026
Provenance: Not a fork · Personal account; As of Sep 20, 2026
Security (OSV): 243 low (243 low); As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install knowledge_gpt

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

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Open-source LLM knowledge platform for creating a queryable RAG, autonomous reasoning agent, and self-maintaining Wiki.

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 · Sep 20, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
Languages: python
Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Data & Retrieval Evaluation & Observability

Tags

docker document-analysis python streamlit

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. Open http://localhost:8501 in your browser to access the app. License Distributed under the MIT License. See LICENSE for...

For agents

This page has a .md twin and JSON over the API.

/tools/mmz-001-knowledge-gpt.md GET /api/graphcanon/tools/mmz-001-knowledge-gpt GET /api/graphcanon/graph?tool=mmz-001-knowledge-gpt

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