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* Use a smaller reader where possible * Change scope to module of reader to get faster load times
74 lines
1.9 KiB
YAML
74 lines
1.9 KiB
YAML
version: ignore
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extras: ray
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components:
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- name: DocumentStore
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type: ElasticsearchDocumentStore
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params:
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index: haystack_test
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label_index: haystack_test_label
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- name: ESRetriever1
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type: BM25Retriever
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params:
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document_store: DocumentStore
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- name: ESRetriever2
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# type: TfidfRetriever # can't use TfidfRetriever until https://github.com/deepset-ai/haystack/pull/2984 isn't merged
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type: BM25Retriever
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params:
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document_store: DocumentStore
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- name: Reader
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type: FARMReader
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params:
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no_ans_boost: -10
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model_name_or_path: deepset/bert-medium-squad2-distilled
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num_processes: 0
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- name: PDFConverter
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type: PDFToTextConverter
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params:
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remove_numeric_tables: false
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- name: Preprocessor
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type: PreProcessor
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params:
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clean_whitespace: true
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- name: IndexTimeDocumentClassifier
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type: TransformersDocumentClassifier
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params:
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batch_size: 16
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use_gpu: false
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- name: QueryTimeDocumentClassifier
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type: TransformersDocumentClassifier
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params:
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use_gpu: false
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- name: JoinDocuments
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params: {}
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type: JoinDocuments
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pipelines:
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- name: ray_query_pipeline
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nodes:
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- name: ESRetriever1
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inputs: [ Query ]
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serve_deployment_kwargs:
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num_replicas: 2
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version: Twenty
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ray_actor_options:
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# num_gpus: 0.25 # we have no GPU to test this
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num_cpus: 0.25
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max_concurrent_queries: 17
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- name: ESRetriever2
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inputs: [ Query ]
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serve_deployment_kwargs:
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num_replicas: 2
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version: Twenty
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ray_actor_options:
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# num_gpus: 0.25 # we have no GPU to test this
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num_cpus: 0.25
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max_concurrent_queries: 15
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- name: JoinDocuments
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inputs:
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- ESRetriever1
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- ESRetriever2
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- name: Reader
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inputs: [ JoinDocuments ]
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