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muthuk1
/
graphrag-inference-hackathon
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1
arxiv:
12 papers
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graphrag-inference-hackathon
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graphrag
/
layers
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History:
13 commits
muthuk1
Update __init__.py with new exports (TGGraphRAGClient, TripleComparisonResult, LLM judge, BERTScore, etc.)
df00339
verified
8 days ago
__init__.py
Safe
892 Bytes
Update __init__.py with new exports (TGGraphRAGClient, TripleComparisonResult, LLM judge, BERTScore, etc.)
8 days ago
evaluation_layer.py
Safe
26.6 kB
Fix #3: Add LLM-as-a-Judge (PASS/FAIL) + BERTScore evaluation — the two hackathon-required accuracy metrics
8 days ago
graph_layer.py
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12.3 kB
Add Layer 1: Graph Layer (TigerGraph schema, GSQL queries, vector search, traversal)
12 days ago
gsql_advanced.py
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5.7 kB
Add advanced GSQL queries: PPR scoring, shortest paths, spreading activation, community detection"
12 days ago
llm_layer.py
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8.02 kB
Add Layer 3: LLM Layer (generation, entity extraction, keyword extraction, complexity analysis)
12 days ago
novelties.py
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26.5 kB
Add GraphRAG novelties engine: PPR scoring, token budget, path pruning, spreading activation, hybrid router, incremental updates
12 days ago
orchestration_layer.py
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23.3 kB
Fix #2+#4+#6: Add LLM-Only pipeline, wire NoveltyEngine, integrate TG GraphRAG client, 3-pipeline comparison
8 days ago
tg_graphrag_client.py
Safe
22.8 kB
Fix #1: Add TigerGraph GraphRAG integration layer wrapping official repo REST APIs
8 days ago
universal_llm.py
Safe
13.4 kB
Add Python universal LLM layer with LiteLLM supporting 12 providers + Ollama
12 days ago