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• chunking_settings object

  The chunking configuration object.

  Hide chunking_settings attributes Show chunking_settings attributes object

  • max_chunk_size number

    The maximum size of a chunk in words. This value cannot be higher than 300 or lower than 20 (for sentence strategy) or 10 (for word strategy).

    Default value is 250.

  • overlap number

    The number of overlapping words for chunks. It is applicable only to a word chunking strategy. This value cannot be higher than half the max_chunk_size value.

    Default value is 100.

  • sentence_overlap number

    The number of overlapping sentences for chunks. It is applicable only for a sentence chunking strategy. It can be either 1 or 0.

    Default value is 1.

  • strategy string

    The chunking strategy: sentence or word.

    Default value is sentence.

• service string Required

  The type of service supported for the specified task type. In this case, alibabacloud-ai-search.

  Value is alibabacloud-ai-search.

• service_settings object Required

  Settings used to install the inference model. These settings are specific to the alibabacloud-ai-search service.

  Hide service_settings attributes Show service_settings attributes object

  • api_key string Required

    A valid API key for the AlibabaCloud AI Search API.

  • host string Required

    The name of the host address used for the inference task. You can find the host address in the API keys section of the documentation.

    External documentation
  • rate_limit object

    This setting helps to minimize the number of rate limit errors returned from AlibabaCloud AI Search. By default, the alibabacloud-ai-search service sets the number of requests allowed per minute to 1000.

    Hide rate_limit attribute Show rate_limit attribute object

    • requests_per_minute number

      The number of requests allowed per minute.

  • service_id string Required

    The name of the model service to use for the inference task. The following service IDs are available for the completion task:

    • ops-qwen-turbo
    • qwen-turbo
    • qwen-plus
    • qwen-max ÷ qwen-max-longcontext

    The following service ID is available for the rerank task:

    • ops-bge-reranker-larger

    The following service ID is available for the sparse_embedding task:

    • ops-text-sparse-embedding-001

    The following service IDs are available for the text_embedding task:

    ops-text-embedding-001 ops-text-embedding-zh-001 ops-text-embedding-en-001 ops-text-embedding-002

  • workspace string Required

    The name of the workspace used for the inference task.

• task_settings object

  Settings to configure the inference task. These settings are specific to the task type you specified.

  Hide task_settings attributes Show task_settings attributes object

  • input_type string

    For a sparse_embedding or text_embedding task, specify the type of input passed to the model. Valid values are:

    • ingest for storing document embeddings in a vector database.
    • search for storing embeddings of search queries run against a vector database to find relevant documents.
  • return_token boolean

    For a sparse_embedding task, it affects whether the token name will be returned in the response. It defaults to false, which means only the token ID will be returned in the response.