https://github.com/BaranziniLab/KG_RAG

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
https://github.com/BaranziniLab/KG_RAG

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

Last synced: about 1 month ago
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Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

• Host: GitHub
• URL: https://github.com/BaranziniLab/KG_RAG
• Owner: BaranziniLab
• License: apache-2.0
• Created: 2023-11-11T03:22:52.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-07-12T04:32:05.000Z (about 2 months ago)
• Last Synced: 2024-07-31T01:08:13.411Z (about 1 month ago)
• 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
• Language: Jupyter Notebook
• Homepage:
• Size: 9.85 MB
• Stars: 545
• Watchers: 16
• Forks: 75
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome - BaranziniLab/KG\_RAG - Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks (Jupyter Notebook)