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• chunking_settings object

  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.

  • separator_group string Required

    This parameter is only applicable when using the recursive chunking strategy.

    Sets a predefined list of separators in the saved chunking settings based on the selected text type. Values can be markdown or plaintext.

    Using this parameter is an alternative to manually specifying a custom separators list.

  • separators array[string] Required

    A list of strings used as possible split points when chunking text with the recursive strategy.

    Each string can be a plain string or a regular expression (regex) pattern. The system tries each separator in order to split the text, starting from the first item in the list.

    After splitting, it attempts to recombine smaller pieces into larger chunks that stay within the max_chunk_size limit, to reduce the total number of chunks generated.

  • strategy string

    The chunking strategy: sentence, word, none or recursive.

    • If strategy is set to recursive, you must also specify:

      • max_chunk_size
      • either separators orseparator_group

    Learn more about different chunking strategies in the linked documentation.

    Default value is sentence.

    External documentation
• service string Required

  Value is alibabacloud-ai-search.

• service_settings object Required
  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 the service.

    Hide rate_limit attribute Show rate_limit attribute object

    • requests_per_minute number

      The number of requests allowed per minute. By default, the number of requests allowed per minute is set by each service as follows:

      • alibabacloud-ai-search service: 1000
      • anthropic service: 50
      • azureaistudio service: 240
      • azureopenai service and task type text_embedding: 1440
      • azureopenai service and task type completion: 120
      • cohere service: 10000
      • elastic service and task type chat_completion: 240
      • googleaistudio service: 360
      • googlevertexai service: 30000
      • hugging_face service: 3000
      • jinaai service: 2000
      • mistral service: 240
      • openai service and task type text_embedding: 3000
      • openai service and task type completion: 500
      • voyageai service: 2000
      • watsonxai service: 120
  • 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
  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.