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Commits on Sep 11, 2025

• Merge pull request #3 from allen2c/dev/v2.0.0

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Commits on Sep 10, 2025

• ♻️ refactor(graph): streamline graph utils and API methods

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• feat(types): ✨ Add hash and equality methods to core types

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• ♻️ refactor(docs): Update GraphRAG strategies overview in documentation

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• ♻️ refactor(graph): Simplify context-aware search strategy

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• ♻️ refactor(graph): Consolidate vector expansion logic into reusable utility

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• ♻️ refactor(graph): remove hybrid scoring method and update strategy numbering

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• ♻️ refactor(graph): simplify PageRank-guided search strategy

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• ♻️ refactor(graph): modularize graph API into algorithm and utils

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• ♻️ refactor(graph): optimize node retrieval with batch operations

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• refactor(graph): ♻️ Simplify vector expansion search strategy

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Commits on Sep 9, 2025

• feat(rerank): ✨ add Voyage AI reranking support

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• ✨ feat(graph): Load DuckPGQ on new connection if enabled

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• ♻️ refactor(dvs): Enhance connection handling with optional conn parameter

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• ♻️ refactor(db): Add conn parameter for connection reuse

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• ✨ feat(graph): add performance timing to all search strategies

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• ✨ feat(graph): add export functionality and improve node ordering

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• ✨ feat(graph): Add drop functionality for clean rebuilds

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• ✨ feat(graph): rebuild knowledge graph with async concurrency control

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• 📚 docs(graph): add mermaid diagrams for GraphRAG strategies

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• ✨ feat(graph): Add validation for graph functionality

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• 🔧 refactor(graph): Simplify method names for search strategies

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• ♻️ refactor(Graph): Extract helper methods for search strategies

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• ✨ refactor(graph): extract graph expansion helpers and clean up RAG logic

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• ✨ feat(graph-api): Enhance search strategies with entity expansion and hub suppression

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• ✨ feat(graph): Introduce advanced entity expansion parameters for Graph-RAG

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• ♻️ refactor: Relocate GraphRAG methods and extract utility function

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Commits on Sep 8, 2025

• ♻️ refactor(examples): Simplify Graph-RAG demo and enhance NER progress logging

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• ✨ feat(graph-rag): Implement Context-Aware Expansion strategy

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• 🚀 refactor(graphrag): unify GraphRAG search return type

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• ✨ feat(search): Enhance query expansion with graph-guided recall boost

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• ✨ feat(graph-rag): Implement iterative refinement strategy with LLM query expansion

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• refactor(graph): ♻️ Enhance graph RAG with hybrid scoring and improved document retrieval

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• ⚡️ perf(utils): Add caching to agent operations for better performance

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• feat(graph-rag): ✨ Implement Graph-Guided Vector Search strategy

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