Data & Research · PyPI

SimpleRAGHuggingFace

A simple Retrieval-Augmented Generation (RAG) library using Hugging Face datasets.

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Details

Author
Julian Camilo Velandia
GitHub profile
@julianVelandia
Category
Data & Research
Platform
PyPI
GitHub
https://github.com/julianVelandia/SimpleRAGHuggingFace
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@julianVelandia

Overview

A simple Retrieval-Augmented Generation (RAG) library using Hugging Face datasets.

Quick start

pip

pip install SimpleRAGHuggingFace

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

What SimpleRAGHuggingFace can do

ragretrieval
  • Rag — Retrieves grounded context before answering.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is SimpleRAGHuggingFace?
A simple Retrieval-Augmented Generation (RAG) library using Hugging Face datasets.
How do I install SimpleRAGHuggingFace?
Use pip: `pip install SimpleRAGHuggingFace`. Full setup details on the source page linked above.
Is SimpleRAGHuggingFace open source?
SimpleRAGHuggingFace is published on PyPI.
What are alternatives to SimpleRAGHuggingFace?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for SimpleRAGHuggingFace is sourced from PyPI, published by Julian Camilo Velandia.

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