KG_RAG
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
Use a framework that combines knowledge graphs with language models to enhance knowledge-based tasks.
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Free · no card · unsubscribe anytimeEmpower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
KG_RAG has 943 stars on GitHub. It has been forked 114 times. KG_RAG is written mainly in Jupyter Notebook. It has been in active development since 2023. KG_RAG is available under the Apache-2.0 license. Its main topics are bert-models, bioinformatics, bioinformatics-algorithms, biomedical-applications.
What is KG_RAG?
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
Is KG_RAG open source?
KG_RAG is an open-source project. It is released under the Apache-2.0 license.
Is KG_RAG free?
Yes. KG_RAG is free and open source — you can use, modify and self-host it.
What license does KG_RAG use?
KG_RAG is available under the Apache-2.0 license.
What language is KG_RAG written in?
KG_RAG is written mainly in Jupyter Notebook.
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