telekom/wurzel
Wurzel is an open-source Python framework for advanced ETL pipelines in Retrieval-Augmented Generation (RAG) systems.
This project helps developers build and manage robust data pipelines for AI systems that generate responses based on retrieved information (RAG). It takes unstructured data (like documents or text) and transforms it into an optimized format for these AI systems, making it easier for them to find and use relevant information. It's designed for machine learning engineers and data scientists responsible for deploying and maintaining AI applications.
Use this if you are a developer building large-scale RAG applications and need to efficiently prepare, process, and manage the data your AI uses for information retrieval.
Not ideal if you are an end-user looking for a ready-to-use RAG application, rather than a framework to build one.
Stars
25
Forks
7
Language
HTML
License
CC0-1.0
Category
Last pushed
Mar 06, 2026
Commits (30d)
0
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