KulikDM/muzlin
Muzlin: a filtering toolset for semantic machine learning
This tool helps AI engineers and prompt engineers improve the quality and relevance of their large language model (LLM) applications. It takes text inputs and uses advanced filtering to identify out-of-context, hallucinated, or irrelevant information from your RAG system, or to determine if new text should be added. The output helps ensure your LLM responses are accurate and grounded in the provided context.
No commits in the last 6 months. Available on PyPI.
Use this if you need to precisely filter and validate text context or generated responses within your semantic AI workflows, especially with RAG or GraphRAG systems.
Not ideal if you are looking for a simple keyword-based filter or if your filtering needs do not involve semantic understanding or anomaly detection in text embeddings.
Stars
8
Forks
3
Language
Python
License
MIT
Category
Last pushed
Jan 11, 2025
Commits (30d)
0
Dependencies
10
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