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C0d7fcd0 3c06 4b61 Ac7b C280e04ab080

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kind: custommode: permissive189 statements50 distinct subjects

Source document

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credential = AzureKeyCredential(admin_key) client = SearchClient(endpoint=f"https://{service_name}.search.windows.net", index_name=index_name, credential=credential) # Define the index schema index_schema = { "name": index_name, "fields": [ {"name": "id", "type": "Edm.String", "key": True, "searchable": False}, {"name": "title", "type": "Edm.String", "searchable": True, "filterable": True, "sortable": True, "facetable": True}, {"name": "content", "type": "Edm.String", "searchable": True, "filterable": False, "sortable": False, "facetable": False} ] } # Create the index client.create_index(index_schema) # Add documents to the index documents = [ {"id": "1", "title": "Document One", "content": "This is the content of document one."}, {"id": "2", "title": "Document Two", "content": "This is the content of document two."} ] client.upload_documents(documents) ``` ### Setting Up AWS OpenSearch First, you need to create an OpenSearch domain and then set up an index. #### Prerequisites - AWS Account - AWS SDK for Python (`boto3`) Install the AWS SDK for Python: ```bash pip install boto3 ``` #### Create an Index in AWS OpenSearch

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Grouped by subject. Each subject links to its full article.

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