AI Infrastructure · PyPI

carag

An efficient python library for building AI applications using the Retrieval-Augmented Generation (RAG) pipeline.

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Details

Author
Mohamed Rizwan
GitHub profile
@rizwandel
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/rizwandel/Build-Standard-RAG-with-Qdrant
Framework
mistral
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@rizwandel

Overview

An efficient python library for building AI applications using the Retrieval-Augmented Generation (RAG) pipeline.

Quick start

pip

pip install carag

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

What carag can do

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

Frequently asked questions

What is carag?
An efficient python library for building AI applications using the Retrieval-Augmented Generation (RAG) pipeline.
How do I install carag?
Use pip: `pip install carag`. Full setup details on the source page linked above.
Is carag open source?
carag is published on PyPI.
What are alternatives to carag?
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 carag is sourced from PyPI, published by Mohamed Rizwan.

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