GitHub / BaranziniLab / KG_RAG
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
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PURL: pkg:github/BaranziniLab/KG_RAG
Stars: 877
Forks: 106
Open issues: 6
License: apache-2.0
Language: Jupyter Notebook
Size: 10.3 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: 7 days ago
Pushed at: 10 months ago
Last synced at: 3 days ago
Commit Stats
Commits: 567
Authors: 6
Mean commits per author: 94.5
Development Distribution Score: 0.122
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/BaranziniLab/KG_RAG
Topics: bert-models, bioinformatics, bioinformatics-algorithms, biomedical-applications, biomedical-informatics, context-aware, gpt, gpt35turbo, gpt4, knowledge-base, knowledge-graph, large-language-models, llama, llama2, llm, prompt-engineering, prompt-tuning, rag, retrieval-augmented-generation, sentence-transformers