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fix(mongodb): raise exception on index initialization failure and add models_api dependency

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Young Han 2025-10-31 11:01:28 -07:00
parent 8acc4ef7f8
commit ab824b53e3
1 changed files with 5 additions and 5 deletions
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10
llama_stack/providers/remote/vector_io/mongodb/mongodb.py
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@ -93,11 +93,11 @@ class MongoDBIndex(EmbeddingIndex):
f"Failed to initialize MongoDB index for vector_db: {self.vector_db.identifier}. " f"Failed to initialize MongoDB index for vector_db: {self.vector_db.identifier}. "
f"Collection name: {self.collection.name}. Error: {str(e)}" f"Collection name: {self.collection.name}. Error: {str(e)}"
) )
# Don't fail completely - just log the error and continue raise RuntimeError(
logger.warning( f"Failed to initialize MongoDB vector search index. "
"Continuing without complete index initialization. " f"Vector store '{self.vector_db.identifier}' cannot function without indexes. "
"You may need to create indexes manually in MongoDB Atlas dashboard." f"Error: {str(e)}"
) ) from e
async def _create_vector_search_index(self) -> None: async def _create_vector_search_index(self) -> None:
"""Create optimized vector search index based on MongoDB RAG best practices.""" """Create optimized vector search index based on MongoDB RAG best practices."""