AI Infrastructure · PyPI

edurag

An LLM-based Retrieval-Augmented Generation (RAG) component for education, supporting problem solving, academic literature analysis, and knowledge Q&A.

Details

Author
EduRAG Team
GitHub profile
@edurag
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/edurag/edurag
Framework
langchain
Language
python
Stars
0
First indexed
2026-05-15
Last active
Directory sync
2026-05-15

Overview

An LLM-based Retrieval-Augmented Generation (RAG) component for education, supporting problem solving, academic literature analysis, and knowledge Q&A.

Quick start

pip

pip install edurag

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What edurag can do

  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Retrieval — retrieval task automation.
  • Langchain — langchain task automation.

Frequently asked questions

What is edurag?
An LLM-based Retrieval-Augmented Generation (RAG) component for education, supporting problem solving, academic literature analysis, and knowledge Q&A.
How do I install edurag?
Use pip: `pip install edurag`. Full setup details on the source page linked above.
Is edurag open source?
edurag is published on PyPI.
What are alternatives to edurag?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for edurag is sourced from PyPI, published by EduRAG Team.

Last scraped: · First indexed:

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