# BaranziniLab/KG\_RAG

<https://repo.masters-masters.com/en/repos/BaranziniLab/KG_RAG>

[Home](https://repo.masters-masters.com/en) › [BaranziniLab](https://repo.masters-masters.com/en/owners/BaranziniLab) › [KG\_RAG](https://repo.masters-masters.com/en/repos/BaranziniLab/KG_RAG)

BaranziniLab/KG\_RAG has 948 stars on GitHub. Its RepoMasters card: Beta tier. Empower Large Language Models (LLM) using Knowledge Graph based…

| Field | Value |
| --- | --- |
| Owner | [BaranziniLab](https://repo.masters-masters.com/en/owners/BaranziniLab) |
| Stars | 948 |
| Forks | 115 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | gpt, knowledge-graph, large-language-models, llama2, llm, rag, retrieval-augmented-generation, biomedical-applications, biomedical-informatics, bioinformatics |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [BaranziniLab/KG\_RAG](https://github.com/BaranziniLab/KG_RAG) |

## Repository

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.