Business · PyPI

hierarchical-rag-retrieval

AI-Powered Legal Document Retrieval Engine based on Hierarchical Clustering & RAG

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Details

Author
arthur422tp
GitHub profile
@arthur422tp
Category
Business
Platform
PyPI
GitHub
https://github.com/arthur422tp/hierarchical
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@arthur422tp

Overview

AI-Powered Legal Document Retrieval Engine based on Hierarchical Clustering & RAG

Quick start

pip

pip install hierarchical-rag-retrieval

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

What hierarchical-rag-retrieval can do

ragairetrieval
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is hierarchical-rag-retrieval?
AI-Powered Legal Document Retrieval Engine based on Hierarchical Clustering & RAG
How do I install hierarchical-rag-retrieval?
Use pip: `pip install hierarchical-rag-retrieval`. Full setup details on the source page linked above.
Is hierarchical-rag-retrieval open source?
hierarchical-rag-retrieval is published on PyPI.
What are alternatives to hierarchical-rag-retrieval?
Comparable agents include awesome-llm-apps, vllm, aider. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for hierarchical-rag-retrieval is sourced from PyPI, published by arthur422tp.

Last scraped: · First indexed:

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