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graphrag-inference-hackathon

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graphrag-inference-hackathon / graphrag /layers

140 kB

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History: 13 commits

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Update __init__.py with new exports (TGGraphRAGClient, TripleComparisonResult, LLM judge, BERTScore, etc.)

df00339 verified 24 days ago

__init__.py

892 Bytes
Update __init__.py with new exports (TGGraphRAGClient, TripleComparisonResult, LLM judge, BERTScore, etc.) 24 days ago
evaluation_layer.py

26.6 kB
Fix #3: Add LLM-as-a-Judge (PASS/FAIL) + BERTScore evaluation — the two hackathon-required accuracy metrics 24 days ago
graph_layer.py

12.3 kB
Add Layer 1: Graph Layer (TigerGraph schema, GSQL queries, vector search, traversal) 28 days ago
gsql_advanced.py

5.7 kB
Add advanced GSQL queries: PPR scoring, shortest paths, spreading activation, community detection" 28 days ago
llm_layer.py

8.02 kB
Add Layer 3: LLM Layer (generation, entity extraction, keyword extraction, complexity analysis) 28 days ago
novelties.py

26.5 kB
Add GraphRAG novelties engine: PPR scoring, token budget, path pruning, spreading activation, hybrid router, incremental updates 28 days ago
orchestration_layer.py

23.3 kB
Fix #2+#4+#6: Add LLM-Only pipeline, wire NoveltyEngine, integrate TG GraphRAG client, 3-pipeline comparison 24 days ago
tg_graphrag_client.py

22.8 kB
Fix #1: Add TigerGraph GraphRAG integration layer wrapping official repo REST APIs 24 days ago
universal_llm.py

13.4 kB
Add Python universal LLM layer with LiteLLM supporting 12 providers + Ollama 28 days ago