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feat: Implement Milvus retriver for RAG (#516)

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* feat: Implement MilvusRetriever with embedding model and resource management

* chore: Update configuration and loader files for consistency

* chore: Clean up test_milvus.py for improved readability and organization

* feat: Add tests for DashscopeEmbeddings query and document embedding methods

* feat: Add tests for embedding model initialization and example file loading in MilvusProvider

* chore: Remove unused imports and clean up test_milvus.py for better readability

* chore: Clean up test_milvus.py for improved readability and organization

* chore: Clean up test_milvus.py for improved readability and organization

* fix: replace print statements with logging in recursion limit function

* Implement feature X to enhance user experience and optimize performance

* refactor: clean up unused imports and comments in AboutTab component

* Implement feature X to enhance user experience and fix bug Y in module Z

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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
This commit is contained in:
CHANGXUBO
2025-09-12 22:20:55 +08:00
committed by GitHub
parent eec8e4dd60
commit dd9af1eb50
15 changed files with 1875 additions and 43 deletions
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src/config/tools.py
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@@ -24,6 +24,7 @@ SELECTED_SEARCH_ENGINE = os.getenv("SEARCH_API", SearchEngine.TAVILY.value)
class RAGProvider(enum.Enum):
RAGFLOW = "ragflow"
VIKINGDB_KNOWLEDGE_BASE = "vikingdb_knowledge_base"
MILVUS = "milvus"
SELECTED_RAG_PROVIDER = os.getenv("RAG_PROVIDER")