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knowledge-gpt

geeks-of-data/knowledge-gpt

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

GraphCanon updated 2d · GitHub synced 2d

291 stars52 forksLast push 3y 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

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (1216d since push)
As of 2d
Provenance
Not a fork · Organization account
As of 2d
Security (OSV)
No lockfile
As of 1mo

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

Install

pip install knowledge-gpt
PyPI

Similar 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 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 · Aug 23, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Aug 23, 2026

Languages
python

Source: github.language · Aug 23, 2026

Categories

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Aug 23, 2026)

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

Tags

README

Installation

  1. PyPI installation, run in terminal: pip install knowledgegpt

  2. Or you can use the latest version from the repository: pip install -r requirements.txt and then pip install .

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


Docker Usage

docker build -t knowledgegptimage .
docker run -p 8888:8888 knowledgegptimage

For agents

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

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