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2025-12-01 17:21:38 +08:00
parent 32fee2b8ab
commit fab8c13cb3
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from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class AlibabaCloudMySQLConfig(BaseSettings):
"""
Configuration settings for AlibabaCloud MySQL vector database
"""
ALIBABACLOUD_MYSQL_HOST: str = Field(
description="Hostname or IP address of the AlibabaCloud MySQL server (e.g., 'localhost' or 'mysql.aliyun.com')",
default="localhost",
)
ALIBABACLOUD_MYSQL_PORT: PositiveInt = Field(
description="Port number on which the AlibabaCloud MySQL server is listening (default is 3306)",
default=3306,
)
ALIBABACLOUD_MYSQL_USER: str = Field(
description="Username for authenticating with AlibabaCloud MySQL (default is 'root')",
default="root",
)
ALIBABACLOUD_MYSQL_PASSWORD: str = Field(
description="Password for authenticating with AlibabaCloud MySQL (default is an empty string)",
default="",
)
ALIBABACLOUD_MYSQL_DATABASE: str = Field(
description="Name of the AlibabaCloud MySQL database to connect to (default is 'dify')",
default="dify",
)
ALIBABACLOUD_MYSQL_MAX_CONNECTION: PositiveInt = Field(
description="Maximum number of connections in the connection pool",
default=5,
)
ALIBABACLOUD_MYSQL_CHARSET: str = Field(
description="Character set for AlibabaCloud MySQL connection (default is 'utf8mb4')",
default="utf8mb4",
)
ALIBABACLOUD_MYSQL_DISTANCE_FUNCTION: str = Field(
description="Distance function used for vector similarity search in AlibabaCloud MySQL "
"(e.g., 'cosine', 'euclidean')",
default="cosine",
)
ALIBABACLOUD_MYSQL_HNSW_M: PositiveInt = Field(
description="Maximum number of connections per layer for HNSW vector index (default is 6, range: 3-200)",
default=6,
)

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from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class AnalyticdbConfig(BaseSettings):
"""
Configuration for connecting to Alibaba Cloud AnalyticDB for PostgreSQL.
Refer to the following documentation for details on obtaining credentials:
https://www.alibabacloud.com/help/en/analyticdb-for-postgresql/getting-started/create-an-instance-instances-with-vector-engine-optimization-enabled
"""
ANALYTICDB_KEY_ID: str | None = Field(
default=None, description="The Access Key ID provided by Alibaba Cloud for API authentication."
)
ANALYTICDB_KEY_SECRET: str | None = Field(
default=None, description="The Secret Access Key corresponding to the Access Key ID for secure API access."
)
ANALYTICDB_REGION_ID: str | None = Field(
default=None,
description="The region where the AnalyticDB instance is deployed (e.g., 'cn-hangzhou', 'ap-southeast-1').",
)
ANALYTICDB_INSTANCE_ID: str | None = Field(
default=None,
description="The unique identifier of the AnalyticDB instance you want to connect to.",
)
ANALYTICDB_ACCOUNT: str | None = Field(
default=None,
description="The account name used to log in to the AnalyticDB instance"
" (usually the initial account created with the instance).",
)
ANALYTICDB_PASSWORD: str | None = Field(
default=None, description="The password associated with the AnalyticDB account for database authentication."
)
ANALYTICDB_NAMESPACE: str | None = Field(
default=None, description="The namespace within AnalyticDB for schema isolation (if using namespace feature)."
)
ANALYTICDB_NAMESPACE_PASSWORD: str | None = Field(
default=None,
description="The password for accessing the specified namespace within the AnalyticDB instance"
" (if namespace feature is enabled).",
)
ANALYTICDB_HOST: str | None = Field(
default=None, description="The host of the AnalyticDB instance you want to connect to."
)
ANALYTICDB_PORT: PositiveInt = Field(
default=5432, description="The port of the AnalyticDB instance you want to connect to."
)
ANALYTICDB_MIN_CONNECTION: PositiveInt = Field(default=1, description="Min connection of the AnalyticDB database.")
ANALYTICDB_MAX_CONNECTION: PositiveInt = Field(default=5, description="Max connection of the AnalyticDB database.")

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from pydantic import Field, NonNegativeInt, PositiveInt
from pydantic_settings import BaseSettings
class BaiduVectorDBConfig(BaseSettings):
"""
Configuration settings for Baidu Vector Database
"""
BAIDU_VECTOR_DB_ENDPOINT: str | None = Field(
description="URL of the Baidu Vector Database service (e.g., 'http://vdb.bj.baidubce.com')",
default=None,
)
BAIDU_VECTOR_DB_CONNECTION_TIMEOUT_MS: PositiveInt = Field(
description="Timeout in milliseconds for Baidu Vector Database operations (default is 30000 milliseconds)",
default=30000,
)
BAIDU_VECTOR_DB_ACCOUNT: str | None = Field(
description="Account for authenticating with the Baidu Vector Database",
default=None,
)
BAIDU_VECTOR_DB_API_KEY: str | None = Field(
description="API key for authenticating with the Baidu Vector Database service",
default=None,
)
BAIDU_VECTOR_DB_DATABASE: str | None = Field(
description="Name of the specific Baidu Vector Database to connect to",
default=None,
)
BAIDU_VECTOR_DB_SHARD: PositiveInt = Field(
description="Number of shards for the Baidu Vector Database (default is 1)",
default=1,
)
BAIDU_VECTOR_DB_REPLICAS: NonNegativeInt = Field(
description="Number of replicas for the Baidu Vector Database (default is 3)",
default=3,
)
BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER: str = Field(
description="Analyzer type for inverted index in Baidu Vector Database (default is DEFAULT_ANALYZER)",
default="DEFAULT_ANALYZER",
)
BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE: str = Field(
description="Parser mode for inverted index in Baidu Vector Database (default is COARSE_MODE)",
default="COARSE_MODE",
)

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from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class ChromaConfig(BaseSettings):
"""
Configuration settings for Chroma vector database
"""
CHROMA_HOST: str | None = Field(
description="Hostname or IP address of the Chroma server (e.g., 'localhost' or '192.168.1.100')",
default=None,
)
CHROMA_PORT: PositiveInt = Field(
description="Port number on which the Chroma server is listening (default is 8000)",
default=8000,
)
CHROMA_TENANT: str | None = Field(
description="Tenant identifier for multi-tenancy support in Chroma",
default=None,
)
CHROMA_DATABASE: str | None = Field(
description="Name of the Chroma database to connect to",
default=None,
)
CHROMA_AUTH_PROVIDER: str | None = Field(
description="Authentication provider for Chroma (e.g., 'basic', 'token', or a custom provider)",
default=None,
)
CHROMA_AUTH_CREDENTIALS: str | None = Field(
description="Authentication credentials for Chroma (format depends on the auth provider)",
default=None,
)

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from pydantic import Field
from pydantic_settings import BaseSettings
class ClickzettaConfig(BaseSettings):
"""
Clickzetta Lakehouse vector database configuration
"""
CLICKZETTA_USERNAME: str | None = Field(
description="Username for authenticating with Clickzetta Lakehouse",
default=None,
)
CLICKZETTA_PASSWORD: str | None = Field(
description="Password for authenticating with Clickzetta Lakehouse",
default=None,
)
CLICKZETTA_INSTANCE: str | None = Field(
description="Clickzetta Lakehouse instance ID",
default=None,
)
CLICKZETTA_SERVICE: str | None = Field(
description="Clickzetta API service endpoint (e.g., 'api.clickzetta.com')",
default="api.clickzetta.com",
)
CLICKZETTA_WORKSPACE: str | None = Field(
description="Clickzetta workspace name",
default="default",
)
CLICKZETTA_VCLUSTER: str | None = Field(
description="Clickzetta virtual cluster name",
default="default_ap",
)
CLICKZETTA_SCHEMA: str | None = Field(
description="Database schema name in Clickzetta",
default="public",
)
CLICKZETTA_BATCH_SIZE: int | None = Field(
description="Batch size for bulk insert operations",
default=100,
)
CLICKZETTA_ENABLE_INVERTED_INDEX: bool | None = Field(
description="Enable inverted index for full-text search capabilities",
default=True,
)
CLICKZETTA_ANALYZER_TYPE: str | None = Field(
description="Analyzer type for full-text search: keyword, english, chinese, unicode",
default="chinese",
)
CLICKZETTA_ANALYZER_MODE: str | None = Field(
description="Analyzer mode for tokenization: max_word (fine-grained) or smart (intelligent)",
default="smart",
)
CLICKZETTA_VECTOR_DISTANCE_FUNCTION: str | None = Field(
description="Distance function for vector similarity: l2_distance or cosine_distance",
default="cosine_distance",
)

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from pydantic import Field
from pydantic_settings import BaseSettings
class CouchbaseConfig(BaseSettings):
"""
Couchbase configs
"""
COUCHBASE_CONNECTION_STRING: str | None = Field(
description="COUCHBASE connection string",
default=None,
)
COUCHBASE_USER: str | None = Field(
description="COUCHBASE user",
default=None,
)
COUCHBASE_PASSWORD: str | None = Field(
description="COUCHBASE password",
default=None,
)
COUCHBASE_BUCKET_NAME: str | None = Field(
description="COUCHBASE bucket name",
default=None,
)
COUCHBASE_SCOPE_NAME: str | None = Field(
description="COUCHBASE scope name",
default=None,
)

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from pydantic import Field, PositiveInt, model_validator
from pydantic_settings import BaseSettings
class ElasticsearchConfig(BaseSettings):
"""
Configuration settings for both self-managed and Elastic Cloud deployments.
Can load from environment variables or .env files.
"""
ELASTICSEARCH_HOST: str | None = Field(
description="Hostname or IP address of the Elasticsearch server (e.g., 'localhost' or '192.168.1.100')",
default="127.0.0.1",
)
ELASTICSEARCH_PORT: PositiveInt = Field(
description="Port number on which the Elasticsearch server is listening (default is 9200)",
default=9200,
)
ELASTICSEARCH_USERNAME: str | None = Field(
description="Username for authenticating with Elasticsearch (default is 'elastic')",
default="elastic",
)
ELASTICSEARCH_PASSWORD: str | None = Field(
description="Password for authenticating with Elasticsearch (default is 'elastic')",
default="elastic",
)
# Elastic Cloud (optional)
ELASTICSEARCH_USE_CLOUD: bool | None = Field(
description="Set to True to use Elastic Cloud instead of self-hosted Elasticsearch", default=False
)
ELASTICSEARCH_CLOUD_URL: str | None = Field(
description="Full URL for Elastic Cloud deployment (e.g., 'https://example.es.region.aws.found.io:443')",
default=None,
)
ELASTICSEARCH_API_KEY: str | None = Field(description="API key for authenticating with Elastic Cloud", default=None)
# Common options
ELASTICSEARCH_CA_CERTS: str | None = Field(
description="Path to CA certificate file for SSL verification", default=None
)
ELASTICSEARCH_VERIFY_CERTS: bool = Field(
description="Whether to verify SSL certificates (default is False)", default=False
)
ELASTICSEARCH_REQUEST_TIMEOUT: int = Field(
description="Request timeout in milliseconds (default is 100000)", default=100000
)
ELASTICSEARCH_RETRY_ON_TIMEOUT: bool = Field(
description="Whether to retry requests on timeout (default is True)", default=True
)
ELASTICSEARCH_MAX_RETRIES: int = Field(
description="Maximum number of retry attempts (default is 10000)", default=10000
)
@model_validator(mode="after")
def validate_elasticsearch_config(self):
"""Validate Elasticsearch configuration based on deployment type."""
if self.ELASTICSEARCH_USE_CLOUD:
if not self.ELASTICSEARCH_CLOUD_URL:
raise ValueError("ELASTICSEARCH_CLOUD_URL is required when using Elastic Cloud")
if not self.ELASTICSEARCH_API_KEY:
raise ValueError("ELASTICSEARCH_API_KEY is required when using Elastic Cloud")
else:
if not self.ELASTICSEARCH_HOST:
raise ValueError("ELASTICSEARCH_HOST is required for self-hosted Elasticsearch")
if not self.ELASTICSEARCH_USERNAME:
raise ValueError("ELASTICSEARCH_USERNAME is required for self-hosted Elasticsearch")
if not self.ELASTICSEARCH_PASSWORD:
raise ValueError("ELASTICSEARCH_PASSWORD is required for self-hosted Elasticsearch")
return self

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from pydantic import Field
from pydantic_settings import BaseSettings
class HuaweiCloudConfig(BaseSettings):
"""
Configuration settings for Huawei cloud search service
"""
HUAWEI_CLOUD_HOSTS: str | None = Field(
description="Hostname or IP address of the Huawei cloud search service instance",
default=None,
)
HUAWEI_CLOUD_USER: str | None = Field(
description="Username for authenticating with Huawei cloud search service",
default=None,
)
HUAWEI_CLOUD_PASSWORD: str | None = Field(
description="Password for authenticating with Huawei cloud search service",
default=None,
)

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from pydantic import Field
from pydantic_settings import BaseSettings
class LindormConfig(BaseSettings):
"""
Lindorm configs
"""
LINDORM_URL: str | None = Field(
description="Lindorm url",
default=None,
)
LINDORM_USERNAME: str | None = Field(
description="Lindorm user",
default=None,
)
LINDORM_PASSWORD: str | None = Field(
description="Lindorm password",
default=None,
)
LINDORM_INDEX_TYPE: str | None = Field(
description="Lindorm Vector Index Type, hnsw or flat is available in dify",
default="hnsw",
)
LINDORM_DISTANCE_TYPE: str | None = Field(
description="Vector Distance Type, support l2, cosinesimil, innerproduct", default="l2"
)
LINDORM_USING_UGC: bool | None = Field(
description="Using UGC index will store indexes with the same IndexType/Dimension in a single big index.",
default=True,
)
LINDORM_QUERY_TIMEOUT: float | None = Field(description="The lindorm search request timeout (s)", default=2.0)

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from pydantic import Field
from pydantic_settings import BaseSettings
class MatrixoneConfig(BaseSettings):
"""Matrixone vector database configuration."""
MATRIXONE_HOST: str = Field(default="localhost", description="Host address of the Matrixone server")
MATRIXONE_PORT: int = Field(default=6001, description="Port number of the Matrixone server")
MATRIXONE_USER: str = Field(default="dump", description="Username for authenticating with Matrixone")
MATRIXONE_PASSWORD: str = Field(default="111", description="Password for authenticating with Matrixone")
MATRIXONE_DATABASE: str = Field(default="dify", description="Name of the Matrixone database to connect to")
MATRIXONE_METRIC: str = Field(
default="l2", description="Distance metric type for vector similarity search (cosine or l2)"
)

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from pydantic import Field
from pydantic_settings import BaseSettings
class MilvusConfig(BaseSettings):
"""
Configuration settings for Milvus vector database
"""
MILVUS_URI: str | None = Field(
description="URI for connecting to the Milvus server (e.g., 'http://localhost:19530' or 'https://milvus-instance.example.com:19530')",
default="http://127.0.0.1:19530",
)
MILVUS_TOKEN: str | None = Field(
description="Authentication token for Milvus, if token-based authentication is enabled",
default=None,
)
MILVUS_USER: str | None = Field(
description="Username for authenticating with Milvus, if username/password authentication is enabled",
default=None,
)
MILVUS_PASSWORD: str | None = Field(
description="Password for authenticating with Milvus, if username/password authentication is enabled",
default=None,
)
MILVUS_DATABASE: str = Field(
description="Name of the Milvus database to connect to (default is 'default')",
default="default",
)
MILVUS_ENABLE_HYBRID_SEARCH: bool = Field(
description="Enable hybrid search features (requires Milvus >= 2.5.0). Set to false for compatibility with "
"older versions",
default=True,
)
MILVUS_ANALYZER_PARAMS: str | None = Field(
description='Milvus text analyzer parameters, e.g., {"type": "chinese"} for Chinese segmentation support.',
default=None,
)

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from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class MyScaleConfig(BaseSettings):
"""
Configuration settings for MyScale vector database
"""
MYSCALE_HOST: str = Field(
description="Hostname or IP address of the MyScale server (e.g., 'localhost' or 'myscale.example.com')",
default="localhost",
)
MYSCALE_PORT: PositiveInt = Field(
description="Port number on which the MyScale server is listening (default is 8123)",
default=8123,
)
MYSCALE_USER: str = Field(
description="Username for authenticating with MyScale (default is 'default')",
default="default",
)
MYSCALE_PASSWORD: str = Field(
description="Password for authenticating with MyScale (default is an empty string)",
default="",
)
MYSCALE_DATABASE: str = Field(
description="Name of the MyScale database to connect to (default is 'default')",
default="default",
)
MYSCALE_FTS_PARAMS: str = Field(
description="Additional parameters for MyScale Full Text Search index)",
default="",
)

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from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class OceanBaseVectorConfig(BaseSettings):
"""
Configuration settings for OceanBase Vector database
"""
OCEANBASE_VECTOR_HOST: str | None = Field(
description="Hostname or IP address of the OceanBase Vector server (e.g. 'localhost')",
default=None,
)
OCEANBASE_VECTOR_PORT: PositiveInt | None = Field(
description="Port number on which the OceanBase Vector server is listening (default is 2881)",
default=2881,
)
OCEANBASE_VECTOR_USER: str | None = Field(
description="Username for authenticating with the OceanBase Vector database",
default=None,
)
OCEANBASE_VECTOR_PASSWORD: str | None = Field(
description="Password for authenticating with the OceanBase Vector database",
default=None,
)
OCEANBASE_VECTOR_DATABASE: str | None = Field(
description="Name of the OceanBase Vector database to connect to",
default=None,
)
OCEANBASE_ENABLE_HYBRID_SEARCH: bool = Field(
description="Enable hybrid search features (requires OceanBase >= 4.3.5.1). Set to false for compatibility "
"with older versions",
default=False,
)
OCEANBASE_FULLTEXT_PARSER: str | None = Field(
description=(
"Fulltext parser to use for text indexing. "
"Built-in options: 'ngram' (N-gram tokenizer for English/numbers), "
"'beng' (Basic English tokenizer), 'space' (Space-based tokenizer), "
"'ngram2' (Improved N-gram tokenizer), 'ik' (Chinese tokenizer). "
"External plugins (require installation): 'japanese_ftparser' (Japanese tokenizer), "
"'thai_ftparser' (Thai tokenizer). Default is 'ik'"
),
default="ik",
)

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from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class OpenGaussConfig(BaseSettings):
"""
Configuration settings for OpenGauss
"""
OPENGAUSS_HOST: str | None = Field(
description="Hostname or IP address of the OpenGauss server(e.g., 'localhost')",
default=None,
)
OPENGAUSS_PORT: PositiveInt = Field(
description="Port number on which the OpenGauss server is listening (default is 6600)",
default=6600,
)
OPENGAUSS_USER: str | None = Field(
description="Username for authenticating with the OpenGauss database",
default=None,
)
OPENGAUSS_PASSWORD: str | None = Field(
description="Password for authenticating with the OpenGauss database",
default=None,
)
OPENGAUSS_DATABASE: str | None = Field(
description="Name of the OpenGauss database to connect to",
default=None,
)
OPENGAUSS_MIN_CONNECTION: PositiveInt = Field(
description="Min connection of the OpenGauss database",
default=1,
)
OPENGAUSS_MAX_CONNECTION: PositiveInt = Field(
description="Max connection of the OpenGauss database",
default=5,
)
OPENGAUSS_ENABLE_PQ: bool = Field(
description="Enable openGauss PQ acceleration feature",
default=False,
)

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from enum import StrEnum
from typing import Literal
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class AuthMethod(StrEnum):
"""
Authentication method for OpenSearch
"""
BASIC = "basic"
AWS_MANAGED_IAM = "aws_managed_iam"
class OpenSearchConfig(BaseSettings):
"""
Configuration settings for OpenSearch
"""
OPENSEARCH_HOST: str | None = Field(
description="Hostname or IP address of the OpenSearch server (e.g., 'localhost' or 'opensearch.example.com')",
default=None,
)
OPENSEARCH_PORT: PositiveInt = Field(
description="Port number on which the OpenSearch server is listening (default is 9200)",
default=9200,
)
OPENSEARCH_SECURE: bool = Field(
description="Whether to use SSL/TLS encrypted connection for OpenSearch (True for HTTPS, False for HTTP)",
default=False,
)
OPENSEARCH_VERIFY_CERTS: bool = Field(
description="Whether to verify SSL certificates for HTTPS connections (recommended to set True in production)",
default=True,
)
OPENSEARCH_AUTH_METHOD: AuthMethod = Field(
description="Authentication method for OpenSearch connection (default is 'basic')",
default=AuthMethod.BASIC,
)
OPENSEARCH_USER: str | None = Field(
description="Username for authenticating with OpenSearch",
default=None,
)
OPENSEARCH_PASSWORD: str | None = Field(
description="Password for authenticating with OpenSearch",
default=None,
)
OPENSEARCH_AWS_REGION: str | None = Field(
description="AWS region for OpenSearch (e.g. 'us-west-2')",
default=None,
)
OPENSEARCH_AWS_SERVICE: Literal["es", "aoss"] | None = Field(
description="AWS service for OpenSearch (e.g. 'aoss' for OpenSearch Serverless)", default=None
)

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from pydantic import Field
from pydantic_settings import BaseSettings
class OracleConfig(BaseSettings):
"""
Configuration settings for Oracle database
"""
ORACLE_USER: str | None = Field(
description="Username for authenticating with the Oracle database",
default=None,
)
ORACLE_PASSWORD: str | None = Field(
description="Password for authenticating with the Oracle database",
default=None,
)
ORACLE_DSN: str | None = Field(
description="Oracle database connection string. For traditional database, use format 'host:port/service_name'. "
"For autonomous database, use the service name from tnsnames.ora in the wallet",
default=None,
)
ORACLE_CONFIG_DIR: str | None = Field(
description="Directory containing the tnsnames.ora configuration file. Only used in thin mode connection",
default=None,
)
ORACLE_WALLET_LOCATION: str | None = Field(
description="Oracle wallet directory path containing the wallet files for secure connection",
default=None,
)
ORACLE_WALLET_PASSWORD: str | None = Field(
description="Password to decrypt the Oracle wallet, if it is encrypted",
default=None,
)
ORACLE_IS_AUTONOMOUS: bool = Field(
description="Flag indicating whether connecting to Oracle Autonomous Database",
default=False,
)

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from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class PGVectorConfig(BaseSettings):
"""
Configuration settings for PGVector (PostgreSQL with vector extension)
"""
PGVECTOR_HOST: str | None = Field(
description="Hostname or IP address of the PostgreSQL server with PGVector extension (e.g., 'localhost')",
default=None,
)
PGVECTOR_PORT: PositiveInt = Field(
description="Port number on which the PostgreSQL server is listening (default is 5433)",
default=5433,
)
PGVECTOR_USER: str | None = Field(
description="Username for authenticating with the PostgreSQL database",
default=None,
)
PGVECTOR_PASSWORD: str | None = Field(
description="Password for authenticating with the PostgreSQL database",
default=None,
)
PGVECTOR_DATABASE: str | None = Field(
description="Name of the PostgreSQL database to connect to",
default=None,
)
PGVECTOR_MIN_CONNECTION: PositiveInt = Field(
description="Min connection of the PostgreSQL database",
default=1,
)
PGVECTOR_MAX_CONNECTION: PositiveInt = Field(
description="Max connection of the PostgreSQL database",
default=5,
)
PGVECTOR_PG_BIGM: bool = Field(
description="Whether to use pg_bigm module for full text search",
default=False,
)

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from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class PGVectoRSConfig(BaseSettings):
"""
Configuration settings for PGVecto.RS (Rust-based vector extension for PostgreSQL)
"""
PGVECTO_RS_HOST: str | None = Field(
description="Hostname or IP address of the PostgreSQL server with PGVecto.RS extension (e.g., 'localhost')",
default=None,
)
PGVECTO_RS_PORT: PositiveInt = Field(
description="Port number on which the PostgreSQL server with PGVecto.RS is listening (default is 5431)",
default=5431,
)
PGVECTO_RS_USER: str | None = Field(
description="Username for authenticating with the PostgreSQL database using PGVecto.RS",
default=None,
)
PGVECTO_RS_PASSWORD: str | None = Field(
description="Password for authenticating with the PostgreSQL database using PGVecto.RS",
default=None,
)
PGVECTO_RS_DATABASE: str | None = Field(
description="Name of the PostgreSQL database with PGVecto.RS extension to connect to",
default=None,
)

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from pydantic import Field, NonNegativeInt, PositiveInt
from pydantic_settings import BaseSettings
class QdrantConfig(BaseSettings):
"""
Configuration settings for Qdrant vector database
"""
QDRANT_URL: str | None = Field(
description="URL of the Qdrant server (e.g., 'http://localhost:6333' or 'https://qdrant.example.com')",
default=None,
)
QDRANT_API_KEY: str | None = Field(
description="API key for authenticating with the Qdrant server",
default=None,
)
QDRANT_CLIENT_TIMEOUT: NonNegativeInt = Field(
description="Timeout in seconds for Qdrant client operations (default is 20 seconds)",
default=20,
)
QDRANT_GRPC_ENABLED: bool = Field(
description="Whether to enable gRPC support for Qdrant connection (True for gRPC, False for HTTP)",
default=False,
)
QDRANT_GRPC_PORT: PositiveInt = Field(
description="Port number for gRPC connection to Qdrant server (default is 6334)",
default=6334,
)
QDRANT_REPLICATION_FACTOR: PositiveInt = Field(
description="Replication factor for Qdrant collections (default is 1)",
default=1,
)

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from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class RelytConfig(BaseSettings):
"""
Configuration settings for Relyt database
"""
RELYT_HOST: str | None = Field(
description="Hostname or IP address of the Relyt server (e.g., 'localhost' or 'relyt.example.com')",
default=None,
)
RELYT_PORT: PositiveInt = Field(
description="Port number on which the Relyt server is listening (default is 9200)",
default=9200,
)
RELYT_USER: str | None = Field(
description="Username for authenticating with the Relyt database",
default=None,
)
RELYT_PASSWORD: str | None = Field(
description="Password for authenticating with the Relyt database",
default=None,
)
RELYT_DATABASE: str | None = Field(
description="Name of the Relyt database to connect to (default is 'default')",
default="default",
)

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from pydantic import Field
from pydantic_settings import BaseSettings
class TableStoreConfig(BaseSettings):
"""
Configuration settings for TableStore.
"""
TABLESTORE_ENDPOINT: str | None = Field(
description="Endpoint address of the TableStore server (e.g. 'https://instance-name.cn-hangzhou.ots.aliyuncs.com')",
default=None,
)
TABLESTORE_INSTANCE_NAME: str | None = Field(
description="Instance name to access TableStore server (eg. 'instance-name')",
default=None,
)
TABLESTORE_ACCESS_KEY_ID: str | None = Field(
description="AccessKey id for the instance name",
default=None,
)
TABLESTORE_ACCESS_KEY_SECRET: str | None = Field(
description="AccessKey secret for the instance name",
default=None,
)
TABLESTORE_NORMALIZE_FULLTEXT_BM25_SCORE: bool = Field(
description="Whether to normalize full-text search scores to [0, 1]",
default=False,
)

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from pydantic import Field, NonNegativeInt, PositiveInt
from pydantic_settings import BaseSettings
class TencentVectorDBConfig(BaseSettings):
"""
Configuration settings for Tencent Vector Database
"""
TENCENT_VECTOR_DB_URL: str | None = Field(
description="URL of the Tencent Vector Database service (e.g., 'https://vectordb.tencentcloudapi.com')",
default=None,
)
TENCENT_VECTOR_DB_API_KEY: str | None = Field(
description="API key for authenticating with the Tencent Vector Database service",
default=None,
)
TENCENT_VECTOR_DB_TIMEOUT: PositiveInt = Field(
description="Timeout in seconds for Tencent Vector Database operations (default is 30 seconds)",
default=30,
)
TENCENT_VECTOR_DB_USERNAME: str | None = Field(
description="Username for authenticating with the Tencent Vector Database (if required)",
default=None,
)
TENCENT_VECTOR_DB_PASSWORD: str | None = Field(
description="Password for authenticating with the Tencent Vector Database (if required)",
default=None,
)
TENCENT_VECTOR_DB_SHARD: PositiveInt = Field(
description="Number of shards for the Tencent Vector Database (default is 1)",
default=1,
)
TENCENT_VECTOR_DB_REPLICAS: NonNegativeInt = Field(
description="Number of replicas for the Tencent Vector Database (default is 2)",
default=2,
)
TENCENT_VECTOR_DB_DATABASE: str | None = Field(
description="Name of the specific Tencent Vector Database to connect to",
default=None,
)
TENCENT_VECTOR_DB_ENABLE_HYBRID_SEARCH: bool = Field(
description="Enable hybrid search features",
default=False,
)

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from pydantic import Field, NonNegativeInt, PositiveInt
from pydantic_settings import BaseSettings
class TidbOnQdrantConfig(BaseSettings):
"""
Tidb on Qdrant configs
"""
TIDB_ON_QDRANT_URL: str | None = Field(
description="Tidb on Qdrant url",
default=None,
)
TIDB_ON_QDRANT_API_KEY: str | None = Field(
description="Tidb on Qdrant api key",
default=None,
)
TIDB_ON_QDRANT_CLIENT_TIMEOUT: NonNegativeInt = Field(
description="Tidb on Qdrant client timeout in seconds",
default=20,
)
TIDB_ON_QDRANT_GRPC_ENABLED: bool = Field(
description="whether enable grpc support for Tidb on Qdrant connection",
default=False,
)
TIDB_ON_QDRANT_GRPC_PORT: PositiveInt = Field(
description="Tidb on Qdrant grpc port",
default=6334,
)
TIDB_PUBLIC_KEY: str | None = Field(
description="Tidb account public key",
default=None,
)
TIDB_PRIVATE_KEY: str | None = Field(
description="Tidb account private key",
default=None,
)
TIDB_API_URL: str | None = Field(
description="Tidb API url",
default=None,
)
TIDB_IAM_API_URL: str | None = Field(
description="Tidb IAM API url",
default=None,
)
TIDB_REGION: str | None = Field(
description="Tidb serverless region",
default="regions/aws-us-east-1",
)
TIDB_PROJECT_ID: str | None = Field(
description="Tidb project id",
default=None,
)
TIDB_SPEND_LIMIT: int | None = Field(
description="Tidb spend limit",
default=100,
)

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from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class TiDBVectorConfig(BaseSettings):
"""
Configuration settings for TiDB Vector database
"""
TIDB_VECTOR_HOST: str | None = Field(
description="Hostname or IP address of the TiDB Vector server (e.g., 'localhost' or 'tidb.example.com')",
default=None,
)
TIDB_VECTOR_PORT: PositiveInt | None = Field(
description="Port number on which the TiDB Vector server is listening (default is 4000)",
default=4000,
)
TIDB_VECTOR_USER: str | None = Field(
description="Username for authenticating with the TiDB Vector database",
default=None,
)
TIDB_VECTOR_PASSWORD: str | None = Field(
description="Password for authenticating with the TiDB Vector database",
default=None,
)
TIDB_VECTOR_DATABASE: str | None = Field(
description="Name of the TiDB Vector database to connect to",
default=None,
)

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from pydantic import Field
from pydantic_settings import BaseSettings
class UpstashConfig(BaseSettings):
"""
Configuration settings for Upstash vector database
"""
UPSTASH_VECTOR_URL: str | None = Field(
description="URL of the upstash server (e.g., 'https://vector.upstash.io')",
default=None,
)
UPSTASH_VECTOR_TOKEN: str | None = Field(
description="Token for authenticating with the upstash server",
default=None,
)

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from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class VastbaseVectorConfig(BaseSettings):
"""
Configuration settings for Vector (Vastbase with vector extension)
"""
VASTBASE_HOST: str | None = Field(
description="Hostname or IP address of the Vastbase server with Vector extension (e.g., 'localhost')",
default=None,
)
VASTBASE_PORT: PositiveInt = Field(
description="Port number on which the Vastbase server is listening (default is 5432)",
default=5432,
)
VASTBASE_USER: str | None = Field(
description="Username for authenticating with the Vastbase database",
default=None,
)
VASTBASE_PASSWORD: str | None = Field(
description="Password for authenticating with the Vastbase database",
default=None,
)
VASTBASE_DATABASE: str | None = Field(
description="Name of the Vastbase database to connect to",
default=None,
)
VASTBASE_MIN_CONNECTION: PositiveInt = Field(
description="Min connection of the Vastbase database",
default=1,
)
VASTBASE_MAX_CONNECTION: PositiveInt = Field(
description="Max connection of the Vastbase database",
default=5,
)

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from pydantic import Field
from pydantic_settings import BaseSettings
class VikingDBConfig(BaseSettings):
"""
Configuration for connecting to Volcengine VikingDB.
Refer to the following documentation for details on obtaining credentials:
https://www.volcengine.com/docs/6291/65568
"""
VIKINGDB_ACCESS_KEY: str | None = Field(
description="The Access Key provided by Volcengine VikingDB for API authentication."
"Refer to the following documentation for details on obtaining credentials:"
"https://www.volcengine.com/docs/6291/65568",
default=None,
)
VIKINGDB_SECRET_KEY: str | None = Field(
description="The Secret Key provided by Volcengine VikingDB for API authentication.",
default=None,
)
VIKINGDB_REGION: str = Field(
description="The region of the Volcengine VikingDB service.(e.g., 'cn-shanghai', 'cn-beijing').",
default="cn-shanghai",
)
VIKINGDB_HOST: str = Field(
description="The host of the Volcengine VikingDB service.(e.g., 'api-vikingdb.volces.com', \
'api-vikingdb.mlp.cn-shanghai.volces.com')",
default="api-vikingdb.mlp.cn-shanghai.volces.com",
)
VIKINGDB_SCHEME: str = Field(
description="The scheme of the Volcengine VikingDB service.(e.g., 'http', 'https').",
default="http",
)
VIKINGDB_CONNECTION_TIMEOUT: int = Field(
description="The connection timeout of the Volcengine VikingDB service.",
default=30,
)
VIKINGDB_SOCKET_TIMEOUT: int = Field(
description="The socket timeout of the Volcengine VikingDB service.",
default=30,
)

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from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class WeaviateConfig(BaseSettings):
"""
Configuration settings for Weaviate vector database
"""
WEAVIATE_ENDPOINT: str | None = Field(
description="URL of the Weaviate server (e.g., 'http://localhost:8080' or 'https://weaviate.example.com')",
default=None,
)
WEAVIATE_API_KEY: str | None = Field(
description="API key for authenticating with the Weaviate server",
default=None,
)
WEAVIATE_GRPC_ENABLED: bool = Field(
description="Whether to enable gRPC for Weaviate connection (True for gRPC, False for HTTP)",
default=True,
)
WEAVIATE_GRPC_ENDPOINT: str | None = Field(
description="URL of the Weaviate gRPC server (e.g., 'grpc://localhost:50051' or 'grpcs://weaviate.example.com:443')",
default=None,
)
WEAVIATE_BATCH_SIZE: PositiveInt = Field(
description="Number of objects to be processed in a single batch operation (default is 100)",
default=100,
)
WEAVIATE_TOKENIZATION: str | None = Field(
description="Tokenization for Weaviate (default is word)",
default="word",
)