xmannii/Maux-API

open source API for your RAG Workflows. by Maux

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Maux-API helps developers quickly build AI applications that need to understand and generate text from various documents, especially in Persian. It takes raw files like PDFs, Word documents, or plain text, processes them, and provides structured content, token counts, and text embeddings. This tool is designed for AI/ML developers who are building Retrieval-Augmented Generation (RAG) systems.

No commits in the last 6 months.

Use this if you are a developer building a RAG-based AI application and need a straightforward way to extract text from documents, count tokens, and generate multilingual text embeddings, particularly with support for Persian.

Not ideal if you are a non-technical end-user looking for a ready-to-use application, as this requires development skills to integrate into a larger system.

AI application development Natural Language Processing RAG systems document processing text embedding
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 5 / 25

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15

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1

Language

Python

License

Last pushed

Aug 13, 2024

Commits (30d)

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