knowledge-gpt

Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources.

GitHub Website

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

143views this month

292 stars52 forksLast push Apr 25, 2023 Python MIT

Decision brief

knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers.

Good fit when

When you need a flexible, model-agnostic approach for Q&A over diverse data sources
If you are leveraging Hugging Face models along with OpenAI's offerings

Avoid when

Avoid if strictly needing real-time response performance without indexing capabilities
Not recommended if focusing solely on visual or multimedia content extraction

Observed Jul 12, 2026 · Source: enrich:decision_facts

knowledge-gpt alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Dormant (1243d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

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

Install

pip install knowledge-gpt

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A Python-based toolkit for indexing and creating question-and-answer sessions with various information sources, leveraging language models like GPT and transformers.

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 · Sep 20, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

3. Download needed language model for parsing: `python3 -m spacy download en_core_web_sm`

Source link

README

Installation 1. PyPI installation, run in terminal: 2. Or you can use the latest version from the repository: and then 3. Download needed language model for parsing: Docker Usage

For agents

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

/tools/geeks-of-data-knowledge-gpt.md GET /api/graphcanon/tools/geeks-of-data-knowledge-gpt GET /api/graphcanon/graph?tool=geeks-of-data-knowledge-gpt