AI Infrastructure · PyPI

ldrag

LD-RAG: GPT-driven ontology reasoning and retrieval

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Details

Author
Alexander Lohr
Category
AI Infrastructure
Platform
PyPI
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15

Overview

LD-RAG: GPT-driven ontology reasoning and retrieval

Quick start

pip

pip install ldrag

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

What ldrag can do

ragreasoningretrieval
  • Rag — Retrieves grounded context before answering.
  • Reasoning — Works through multi-step problems with explicit logic.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is ldrag?
LD-RAG: GPT-driven ontology reasoning and retrieval
How do I install ldrag?
Use pip: `pip install ldrag`. Full setup details on the source page linked above.
Is ldrag open source?
ldrag is published on PyPI.
What are alternatives to ldrag?
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 ldrag is sourced from PyPI, published by Alexander Lohr.

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