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https://github.com/deepset-ai/haystack.git
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51 lines
1.4 KiB
YAML
51 lines
1.4 KiB
YAML
version: '0.7'
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components: # define all the building-blocks for Pipeline
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- name: ElasticsearchDocumentStore
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type: ElasticsearchDocumentStore
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params:
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host: localhost
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- name: ESRetriever
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type: ElasticsearchRetriever
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params:
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document_store: ElasticsearchDocumentStore # params can reference other components defined in the YAML
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top_k: 5
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- name: Reader # custom-name for the component; helpful for visualization & debugging
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type: FARMReader # Haystack Class name for the component
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params:
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model_name_or_path: deepset/roberta-base-squad2
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- name: TextFileConverter
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type: TextConverter
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- name: PDFFileConverter
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type: PDFToTextConverter
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- name: Preprocessor
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type: PreProcessor
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params:
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split_by: word
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split_length: 1000
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- name: FileTypeClassifier
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type: FileTypeClassifier
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pipelines:
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- name: query # a sample extractive-qa Pipeline
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type: Query
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nodes:
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- name: ESRetriever
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inputs: [Query]
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- name: Reader
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inputs: [ESRetriever]
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- name: indexing
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type: Indexing
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nodes:
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- name: FileTypeClassifier
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inputs: [File]
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- name: TextFileConverter
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inputs: [FileTypeClassifier.output_1]
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- name: PDFFileConverter
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inputs: [FileTypeClassifier.output_2]
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- name: Preprocessor
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inputs: [PDFFileConverter, TextFileConverter]
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- name: ElasticsearchDocumentStore
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inputs: [Preprocessor]
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