https://github.com/ictup/enhancing-qa-systems-through-integrated-reasoning-over-knowledge-bases-and-large-language-models
KG-RAG + ToT + multi-agent LLMs for evidence-grounded QA with Neo4j and fine-tuning; reproducible medical case study & evaluation.
https://github.com/ictup/enhancing-qa-systems-through-integrated-reasoning-over-knowledge-bases-and-large-language-models
autogen bm25 fine-tuning knowledge-graph llm llm-ranking lora mindmap neo4j nli peft prompt-engineering question-answering rag reasoning self-consistency tree-of-thoughts
Last synced: 20 days ago
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KG-RAG + ToT + multi-agent LLMs for evidence-grounded QA with Neo4j and fine-tuning; reproducible medical case study & evaluation.
- Host: GitHub
- URL: https://github.com/ictup/enhancing-qa-systems-through-integrated-reasoning-over-knowledge-bases-and-large-language-models
- Owner: ictup
- License: mit
- Created: 2025-08-14T18:28:06.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-08-14T18:44:59.000Z (about 2 months ago)
- Last Synced: 2025-08-14T19:35:54.335Z (about 2 months ago)
- Topics: autogen, bm25, fine-tuning, knowledge-graph, llm, llm-ranking, lora, mindmap, neo4j, nli, peft, prompt-engineering, question-answering, rag, reasoning, self-consistency, tree-of-thoughts
- Language: Python
- Homepage:
- Size: 141 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff