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RAG & Knowledge Systems

Knowledge Gpt

Knowledge Gpt is an MIT-licensed Python library that extracts information from websites, local documents and YouTube material, indexes text as vector embeddings, and retrieves relevant context for language-model question answering.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Knowledge Gpt — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want to build a code-based Q&A workflow over a defined set of web pages, documents or YouTube material, rather than use a ready-made chat website.

Who it is for

  • Python developers building question-answer workflows over selected web or local sources.
  • Teams that want to retrieve relevant passages from PDFs, DOCX or PPTX files, or YouTube transcripts and audio.

Documented uses

  • Extract source text from a website, document or video.
  • Compare a question embedding with stored knowledge embeddings to find relevant context.
  • Pass retrieved context to a language model and return an answer through code.
Before you choose

Requirements & limits

  • The README documents Python installation through PyPI or the repository and requires the spaCy English parsing model.
  • The illustrated web-scraping workflow configures an OpenAI API key for answer generation; the embedding extractor can be set to Hugging Face.
  • The README lists FAISS support and Dockerization; it does not describe a web interface.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up Knowledge Gpt from PyPI

Install the library and the documented spaCy parsing model.

Before you start

  • A terminal with Python and pip.
  • Internet access to install the package and language model.

Steps

  1. Run the command below.

    Documented command
    pip install knowledgegpt

  2. Run the command below.

    Documented command
    python3 -m spacy download en_core_web_sm

Expected outcome

The package and the README's English parsing model are installed.

Guide limitations

  • This covers setup only; using an extractor and generating answers requires further configuration.
  • The README's OpenAI example uses an API key for answer generation.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
geeks-of-data/knowledge-gpt · Official homepage title · retained in its source language
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