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Center Installation Guide For High Availability Model on Redhat v9.x (en)
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, analyzing, and displaying logs produced by akaBot Centers. 5 Redis Cache In-memory data structure store used
…on top of Apache Lucene and released under an Apache license. It is Java-based and can ingest data as well as search and index document files in diverse formats. Logstash is a data collection engine
- ドキュメントの内容のソース
Centers. |5|Redis Cache|(% style="width:690px" %)In-memory data structure store used as a database, cache
…and released under an Apache license. It is Java-based and can ingest data as well as search and index document files in diverse formats. 1. **Logstash** is a data collection engine that unifies data from multiple
[1] Center Installation guide for standalone model on Windows Server (Network Edition) (en)
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Account” (2) Enter data for Login tab including: Login Name, Password as bellowed, leave authentication
…all access rights for specific data base in this scenario, - Object Rights are right to work with any records, DDL Rights are right to work with data base definition type… - After click “Apply”, you
- ドキュメントの内容のソース
}} #if ($xcontext.action != 'export') (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content
…-101.png]] * Enter data for Login tab including: Login Name, Password as bellowed, leave
…to this schema, we select all access rights for specific data base in this scenario, - **Object** **Rights
Center Installation Guide For High Availability Model on Windows Server (en)
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, analyzing, and displaying logs produced by akaBot Centers. 5 Redis Cache In-memory data structure store used
…license. It is Java-based and can ingest data as well as search and index document files in diverse formats. Logstash is a data collection engine that unifies data from multiple sources, offers database
- ドキュメントの内容のソース
, and displaying logs produced by akaBot Centers. |5|Redis Cache|(% style="width:690px" %)In-memory data structure
…an Apache license. It is Java-based and can ingest data as well as search and index document files in diverse formats. 1. **Logstash** is a data collection engine that unifies data from multiple sources
[8] Dashboard (en)
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As a manager or administrator, users may want to know about, for instance, all the documents imported to a specific queue or which data fields required the most corrections. The dashboard’s reports
…by a selected granularity. Table Of Content
- ドキュメントの内容のソース
to a specific queue or which data fields required the most corrections. The dashboard’s reports could also help
…-663.png]] ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table Of Content
[2] Add New Field for Model (en)
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and choose data type is "Table". Step 3: (This step is optional) Turn on button "Required" to set require
…and data type for each column Step 6: Click "Save" button Table of Content
…and Table Field 1. Add Form Field Step 1: On Add Learning Instance screen, click "Add Field" button
- ドキュメントの内容のソース
the table name on "Label" field and choose data type is "Table". ))) [[image:image-20221028164141-11.png
…types of fields: Form Field and Table Field == **1. Add Form Field** == (% class="box infomessage
…the field name on "Label" field and choose data type for field on "Data Type" field ))) [[image:image
[1] Create New Learning Model (en)
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documents to extract data. Staff can create a new learning model by following these below steps: Step 1
…choose base model, staff will have to create form fields and table from scratch Step 5: Click "Save
…. With the Form Fields, staff should label both "Label" and "Value" for each field if having enough data
- ドキュメントの内容のソース
, send the learning models to production and use them to run on actual documents to extract data. Staff
…||cursorshover="true"]] * If staff doesn't choose base model, staff will have to create form fields and table
…" for each field if having enough data in documents. This helps the model will extract data more exactly
[3] Review Document (en)
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After importing the document successfully and the data extraction process is successfully finished
…, akaBot Vision provides users with the capability to add or remove rows in a table To insert a row, you can click "+" icon To delete a row, you can click "x" icon To add a new row at the end of the table
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="wikigeneratedid" %) After importing the document successfully and the data extraction process is successfully
…with this status in the “To review” tab in the user interface. [[image:image-20220420193327-1.png||data-xwiki
…in each field that has been detected incorrectly [[image:image-20220420193327-2.png||data-xwiki-image
Create New Pipeline (en)
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the documents, however, it can be changed later). Note: The default Document type for a new tenant is "General
…for reviewing documents (if need). Step 5: Click "OK" button to complete creating a new pipeline. Table
- ドキュメントの内容のソース
is "General Invoice". If your company would like to use other document types, please contact our akaBot
…" %) ((( Table of Content ))) {{toc depth="4" start="2"/}} ))) )))
[4] Production Vs. Test Environment Setup (en)
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pipelines or move pipelines between PipelineGroupgroups easily. Data integrity controls Users will access
…on the app in any way. Table of Content
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or move pipelines between PipelineGroupgroups easily. |Data integrity controls|Users will access
…" %) ((( (% class="akb-toc-title" %) ((( Table of Content ))) {{toc depth="4" start="2"/}} ))) )))
[1] Create an Account (en)
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1. Create an Account Note: Although akaBot Vision currently supports Pre-trained data fields only for Invoice processing, the technology is documented agnostic and can extract data from any
…customizable, so you can add/group/remove pipelines as needed. Table of Content
- ドキュメントの内容のソース
currently supports Pre-trained data fields only for Invoice processing, the technology is documented agnostic and can extract data from any structured document including receipts, purchase orders, shipping
…-20220420182302-1.png||alt="image-20220420183141-4.png" data-xwiki-image-style-alignment="center"]] **Step 2