Search: extract-structured-data

, analyzing, and displaying logs produced by akaBot Centers. 5 Redis Cache In-memory data structure store used

separate servers. 2.2.1. Step 1 - Extract installation file 1.   Move to installation folder: cd apps/ 2.   Create a folder: /opt/activemq sudo mkdir /opt/activemq 3.   Extract Apache ActiveMQ

Centers. |5|Redis Cache|(% style="width:690px" %)In-memory data structure store used as a database, cache

- Extract installation file === (% style="margin-left:40px" %) 1.   Move to installation folder: (% style

(% style="margin-left:40px" %) 3.   Extract Apache ActiveMQ installation package then move to /opt/activemq

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

-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** are right to work with any records, **DDL** **Rights** are right to work with data base definition type

, analyzing, and displaying logs produced by akaBot Centers. 5 Redis Cache In-memory data structure store used

servers. 2.2.1. Install ActiveMQ Step 1: Extract the file "apache-activemq-5.15.1-bin.zip

license. It is Java-based and can ingest data as well as search and index document files in diverse

, and displaying logs produced by akaBot Centers. |5|Redis Cache|(% style="width:690px" %)In-memory data structure

service on 2 separate servers. ===== **2.2.1. Install ActiveMQ** ===== Step 1: Extract the file "apache

an Apache license. It is Java-based and can ingest data as well as search and index document files

documents to extract data. Staff can create a new learning model by following these below steps: Step 1

in documents. This helps the model will extract data more exactly. Staff can choose "Label" or "Value

. After training models successfully, staff can use that model to extract data by creating new pipeline

, send the learning models to production and use them to run on actual documents to extract data. Staff

" for each field if having enough data in documents. This helps the model will extract data more exactly

successfully, staff can use that model to extract data by creating new pipeline with document type is the model

After importing the document successfully and the data extraction process is successfully finished, the document status will change to TOREVIEW. To Review Tab You can see documents with this status

Shortcuts When reviewing documents in akaBot Vision, there are multiple ways of moving between data fields

="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

extracting the data fields. The AI extraction typically takes up to 5 seconds for 1 A4 page. After

]] [[image:image-20220420184331-2.png||data-xwiki-image-style-alignment="center"]] Click “OK” and the AI will automatically begin extracting the data fields. The AI extraction typically takes up to 5 seconds for 1 A4 page. [[image:image-20220420184331-3.png||data-xwiki-image-style-alignment="center"]] After processing

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 structured document including receipts, purchase orders, shipping documents, etc. Please contact support

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

with structured data in a relational format, allowing you to organize and manipulate it more effectively. Enhanced

I. About Data Service Data Service is a persistent data storage service that brings powerful no-code data modeling and storage capabilities to your Robotic Process Automation (RPA) projects. Data

[1] About Data Service

hỗ trợ khôi phục sau sự cố. Mô hình này bao gồm 02 Data Center: Primary Data Center và DR Data Center (ở trạng thái Inactive và sẽ được kích hoạt khi cần) Primary Data Center: Thành phần của Primary Data Center này bao gồm các máy chứa các thành phần sau: Thành phần Số lượng Mục đích akaBot Agent

Data Service

[1] About Data Service

: * Advanced data types: Work with structured data in a relational format, allowing you to organize

== **I. About Data Service** == Data Service is a persistent data storage service that brings powerful no-code data modeling and storage capabilities to your Robotic Process Automation (RPA) projects

if you want to public it. Remember to consider data security requirement before using it. Display name (String) - The name of this activity. You can edit the name of the activity to organize and structure your

” **Misc** * **Public (Checkbox)** - Check if you want to public it. Remember to consider data security

of the activity to organize and structure your code better. Eg: [34235252] Open Browser **Options

and structure your code better. E.g: [410342694] While Public (Checkbox) - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. Condition (Boolean

and structure your code better. E.g: [410342694] While * **Public (Checkbox)** - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. * **Condition