Search: insert-data-table

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

, 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

it (*For mandatory) In the body of activity URL to be inserted (String)* - The URL that you want to open

) - Check if you want to public it. Remember to consider data security requirement before using it. Default

]] (*For mandatory) == **In the body of activity** == * **URL to be inserted (String)*** - The URL that you want

want to public it. Remember to consider data security requirement before using it. Default is uncheck

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Each Pipeline defines the structure of Data fields that akaBot Vision extracts. Description When editing this structure you have two options: Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained to recognize specific Data fields and enables you to start extracting data

[3] Configure Fields for Data Extraction

Customizing Data Extract

Configuring Fields for Data Extraction

="wikigeneratedid" id="HParagraph1" %) Each Pipeline defines the structure of Data fields that akaBot Vision

options: * Use pre-trained Data fields – AkaBot Vision’s Generic AI engine has been pre-trained to recognize specific Data fields and enables you to start extracting data without any additional training

in the SQL parameter. ・TableDirect - Invokes all records from a table. Output Data Table (DataTable

Configure Connection - Set connection string, data source, data provider. Edit Query - SQL command

to consider data security requirement before using it. Display Name (String) - The name of this activity. You

in the SQL parameter. ・TableDirect - Invokes all records from a table. **Output** * **Data Table (DataTable

connection string, data source, data provider. [[image:https://docs.akabot.com/bin/download/Activities

to consider data security requirement before using it. * **Display Name (String)** - The name of this activity

Table Tabs Well Data Include components used to collect data Hidden Container Data map Data grid Edit

the ability to collect user data UI components are divided into 5 main groups, based on their functions

to fill in. Then click Save when you are done. The below table describes frequently used configure

|((( * HTML element * Content * Columns * Field set * Panel * Table * Tabs * Well ))) |Data|Include components used to collect data|((( * Hidden * Container * Data map * Data grid * Edit grid * Tree ))) |Premium

provide users the ability to collect user data [[image:1695034818758-663.png||height="379" width="1014

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

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

1. Introduction This document will guide you on how to install Data Service on Linux (Ubuntu

needed to run on your system: akabot_dataservice, akabot_userdata. Data Service web service

Table of Content

Data Service

[3] Data Service Installation

** === This document will guide you on how to install Data Service on Linux (Ubuntu) server. === **2. System

))) There are two database schemas needed to run on your system: akabot_dataservice, akabot_userdata. Data Service

: [email protected] ))) (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content

: Choose Automation Type and set conditions for required fields and data formats The Automation Type

will be bypassed Bypass wrong data formats: All the documents with wrong data formats inside will be moved

. If you turn this mode on, all the wrong data formats will be bypassed Step 3: Click [Save] to save

Customizing Data Extract

Automation Type and set conditions for required fields and data formats ))) * The Automation Type will have

fields will be bypassed * Bypass wrong data formats: All the documents with wrong data formats inside

these later. If you turn this mode on, all the wrong data formats will be bypassed [[image:image

date. Output Queue Items (INumerable< QueueItem >) - This is the data table that you have added

it. Remember to consider data security requirements before using it. Display Name (String) - The name

. Integers variables supported only. Reference Filter Strategy (DropDownlist) - You can filter data

** * **Queue Items (INumerable< QueueItem >)** - This is the data table that you have added the queue

(Checkbox)** - Check if you want to publicize it. Remember to consider data security requirements before

data according to the reference. There are two options: ・Start with: Look for items whose references

Public (Checkbox) - Check if you want to public it. Remember to consider data security requirement before

. ・False -The page does not meet the requirement. Table of Content

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

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