AI Infrastructure · PyPI

foxHippoRAG

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

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Details

Author
shunianssy
GitHub profile
@shunianssy
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/shunianssy/foxHippoRAG
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@shunianssy

Overview

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

Quick start

pip

pip install foxHippoRAG

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

What foxHippoRAG can do

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

Frequently asked questions

What is foxHippoRAG?
A powerful graph-based RAG framework (foxHippoRAG distribution) that enables LLMs to identify and leverage connections within new knowledge for improved retrieval.
How do I install foxHippoRAG?
Use pip: `pip install foxHippoRAG`. Full setup details on the source page linked above.
Is foxHippoRAG open source?
foxHippoRAG is published on PyPI.
What are alternatives to foxHippoRAG?
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 foxHippoRAG is sourced from PyPI, published by shunianssy.

Last scraped: · First indexed:

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