AI Infrastructure · PyPI

hipporag

A powerful graph-based RAG framework that enables LLMs to identify and leverage connections within new knowledge for improved retrieval.

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Details

Author
Bernal Jimenez Gutierrez
GitHub profile
@OSU-NLP-Group
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/OSU-NLP-Group/HippoRAG
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@OSU-NLP-Group

Overview

A powerful graph-based RAG framework that enables LLMs to identify and leverage connections within new knowledge for improved retrieval.

Quick start

pip

pip install hipporag

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

What hipporag can do

llmragretrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is hipporag?
A powerful graph-based RAG framework that enables LLMs to identify and leverage connections within new knowledge for improved retrieval.
How do I install hipporag?
Use pip: `pip install hipporag`. Full setup details on the source page linked above.
Is hipporag open source?
hipporag is published on PyPI.
What are alternatives to hipporag?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for hipporag is sourced from PyPI, published by Bernal Jimenez Gutierrez.

Last scraped: · First indexed:

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