dify/api/configs/middleware/vdb/hologres_config.py

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from holo_search_sdk.types import BaseQuantizationType, DistanceType, TokenizerType
from pydantic import Field
from pydantic_settings import BaseSettings
class HologresConfig(BaseSettings):
"""
Configuration settings for Hologres vector database.
Hologres is compatible with PostgreSQL protocol.
access_key_id is used as the PostgreSQL username,
and access_key_secret is used as the PostgreSQL password.
"""
HOLOGRES_HOST: str | None = Field(
description="Hostname or IP address of the Hologres instance.",
default=None,
)
HOLOGRES_PORT: int = Field(
description="Port number for connecting to the Hologres instance.",
default=80,
)
HOLOGRES_DATABASE: str | None = Field(
description="Name of the Hologres database to connect to.",
default=None,
)
HOLOGRES_ACCESS_KEY_ID: str | None = Field(
description="Alibaba Cloud AccessKey ID, also used as the PostgreSQL username.",
default=None,
)
HOLOGRES_ACCESS_KEY_SECRET: str | None = Field(
description="Alibaba Cloud AccessKey Secret, also used as the PostgreSQL password.",
default=None,
)
HOLOGRES_SCHEMA: str = Field(
description="Schema name in the Hologres database.",
default="public",
)
HOLOGRES_TOKENIZER: TokenizerType = Field(
description="Tokenizer for full-text search index (e.g., 'jieba', 'ik', 'standard', 'simple').",
default="jieba",
)
HOLOGRES_DISTANCE_METHOD: DistanceType = Field(
description="Distance method for vector index (e.g., 'Cosine', 'Euclidean', 'InnerProduct').",
default="Cosine",
)
HOLOGRES_BASE_QUANTIZATION_TYPE: BaseQuantizationType = Field(
description="Base quantization type for vector index (e.g., 'rabitq', 'sq8', 'fp16', 'fp32').",
default="rabitq",
)
HOLOGRES_MAX_DEGREE: int = Field(
description="Max degree (M) parameter for HNSW vector index.",
default=64,
)
HOLOGRES_EF_CONSTRUCTION: int = Field(
description="ef_construction parameter for HNSW vector index.",
default=400,
)