ragctl and autorag

ragctl
50
Established
autorag
22
Experimental
Maintenance 6/25
Adoption 6/25
Maturity 22/25
Community 16/25
Maintenance 13/25
Adoption 0/25
Maturity 9/25
Community 0/25
Stars: 18
Forks: 7
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: —
Forks: —
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

About ragctl

datallmhub/ragctl

A powerful CLI tool to manage, test, and optimize RAG pipelines. Streamline your Retrieval-Augmented Generation workflows from terminal.

This tool helps AI engineers and developers prepare various documents like PDFs, Word files, and images for use in Retrieval-Augmented Generation (RAG) applications. It takes raw documents, extracts text using advanced OCR, intelligently breaks them into meaningful chunks, and exports them in formats like JSON or directly into a vector store. This streamlines the crucial data preparation step for building robust RAG systems.

AI-engineering NLP-data-prep document-processing RAG-application-development vector-database-ingestion

About autorag

saadbenchekroun/autorag

Automatically selects and serves optimal RAG pipelines for your document corpus

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