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class CloudAstraDBVectorStore:
Cloud AstraDB Vector Store.
This class is used to store the configuration for an AstraDB vector store, so that it can be created and used in LlamaCloud.
Args: token (str): The Astra DB Application Token to use. api_endpoint (str): The Astra DB JSON API endpoint for your database. collection_name (str): Collection name to use. If not existing, it will be created. embedding_dimension (int): Length of the embedding vectors in use. keyspace (optional[str]): The keyspace to use. If not provided, ‘default_keyspace’
class CloudConfluenceDataSource:
FailureHandlingConfig FailureHandling
Configuration for handling failures during processing. Key-value object controlling failure handling behaviors.
Example: { “skip_list_failures”: true }
Currently supports:
- skip_list_failures: Skip failed batches/lists and continue processing
Boolean SyncPermissions
Whether to fetch space-level permissions (allowed users/groups) and attach them to document metadata for access control. Disable for Confluence Server/Data Center versions whose permission APIs are unavailable (e.g. the JSON-RPC API removed in Data Center 9.2.6+), which otherwise surface as 401 errors during sync.
class CloudMongoDBAtlasVectorSearch:
Cloud MongoDB Atlas Vector Store.
This class is used to store the configuration for a MongoDB Atlas vector store, so that it can be created and used in LlamaCloud.
Args: mongodb_uri (str): URI for connecting to MongoDB Atlas db_name (str): name of the MongoDB database collection_name (str): name of the MongoDB collection vector_index_name (str): name of the MongoDB Atlas vector index fulltext_index_name (str): name of the MongoDB Atlas full-text index
class CloudPineconeVectorStore:
Cloud Pinecone Vector Store.
This class is used to store the configuration for a Pinecone vector store, so that it can be created and used in LlamaCloud.
Args: api_key (str): API key for authenticating with Pinecone index_name (str): name of the Pinecone index namespace (optional[str]): namespace to use in the Pinecone index insert_kwargs (optional[dict]): additional kwargs to pass during insertion
class CloudPostgresVectorStore:
PgVectorHnswSettings? HnswSettings
class CloudQdrantVectorStore:
Cloud Qdrant Vector Store.
This class is used to store the configuration for a Qdrant vector store, so that it can be created and used in LlamaCloud.
Args: collection_name (str): name of the Qdrant collection url (str): url of the Qdrant instance api_key (str): API key for authenticating with Qdrant max_retries (int): maximum number of retries in case of a failure. Defaults to 3 client_kwargs (dict): additional kwargs to pass to the Qdrant client
class CloudSharepointDataSource:
IReadOnlyList<string>? ExcludePathPatterns
List of regex patterns for file paths to exclude. Files whose paths (including filename) match any pattern will be excluded. Example: [‘/temp/’, ‘/backup/’, ‘.git/’, ‘.tmp$’, ’^~’]