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feat(api): optimize OceanBase vector store performance and configurability (#32263)
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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@ -1,3 +1,5 @@
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from typing import Literal
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from pydantic import Field, PositiveInt
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from pydantic_settings import BaseSettings
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@ -49,3 +51,43 @@ class OceanBaseVectorConfig(BaseSettings):
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),
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default="ik",
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)
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OCEANBASE_VECTOR_BATCH_SIZE: PositiveInt = Field(
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description="Number of documents to insert per batch",
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default=100,
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)
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OCEANBASE_VECTOR_METRIC_TYPE: Literal["l2", "cosine", "inner_product"] = Field(
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description="Distance metric type for vector index: l2, cosine, or inner_product",
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default="l2",
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)
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OCEANBASE_HNSW_M: PositiveInt = Field(
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description="HNSW M parameter (max number of connections per node)",
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default=16,
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)
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OCEANBASE_HNSW_EF_CONSTRUCTION: PositiveInt = Field(
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description="HNSW efConstruction parameter (index build-time search width)",
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default=256,
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)
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OCEANBASE_HNSW_EF_SEARCH: int = Field(
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description="HNSW efSearch parameter (query-time search width, -1 uses server default)",
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default=-1,
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)
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OCEANBASE_VECTOR_POOL_SIZE: PositiveInt = Field(
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description="SQLAlchemy connection pool size",
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default=5,
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)
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OCEANBASE_VECTOR_MAX_OVERFLOW: int = Field(
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description="SQLAlchemy connection pool max overflow connections",
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default=10,
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)
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OCEANBASE_HNSW_REFRESH_THRESHOLD: int = Field(
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description="Minimum number of inserted documents to trigger an automatic HNSW index refresh (0 to disable)",
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default=1000,
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)
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