Data & Research · PyPI

duo-rag

Extends RAG with structured query capabilities using dual vector + relational storage

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Details

Author
Cagri Yucel
GitHub profile
@cagriy
Category
Data & Research
Platform
PyPI
GitHub
https://github.com/cagriy/duo-rag
Framework
openai
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@cagriy

Overview

Extends RAG with structured query capabilities using dual vector + relational storage

Quick start

pip

pip install duo-rag

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

What duo-rag can do

llmragaiopenairetrieval
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Ai — ai task automation.
  • Openai — openai task automation.
  • Retrieval — retrieval task automation.

Frequently asked questions

What is duo-rag?
Extends RAG with structured query capabilities using dual vector + relational storage
How do I install duo-rag?
Use pip: `pip install duo-rag`. Full setup details on the source page linked above.
Is duo-rag open source?
duo-rag is published on PyPI.
What are alternatives to duo-rag?
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 duo-rag is sourced from PyPI, published by Cagri Yucel.

Last scraped: · First indexed:

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