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Extract PDF Node (LLM Extraction)
Overview A new Extract PDF Node has been introduced under the Rubi AI category to enable structured data extraction from PDF documents using Large Language Models (LLMs). The feature supports configurable prompt-based extraction pipelines for ...
View Log Screen Enhancement
1. Introduction The View Log screen enhancement provides improved filtering, sorting, and workflow-specific visibility within the log panel. These improvements enable users to efficiently analyze workflow and node-level execution details. 2. Feature ...
Prompt Studio
Overview Prompt Studio is a Generative AI feature in RubiStudio that allows users to generate insights, summaries, trend analysis, correlation summaries, and smart analysis directly from workbook data. Users configure prompts, select relevant ...
Writing Algorithm Result
The Rubiscape process for analyzing data is - read the data, process it based on the algorithms selected, and display the result. In this process, Rubiscape stores your data only in the temporary cache. After the result is displayed, the resultant ...
Configuring further connections to Writer (Templatefile/TemplateTable) Nodes
Using the Writer node in Rubiscape, you can store the result of algorithm flow or the reader into a CSV dataset. To add the connections from Writer to further any node/task is restricted except for Rubipython Task. You can take the results from the ...
Write Strategy Tag
Write Strategy Tag or WSTag, is a feature present in the Expression functionality under Data Preparation. It is used for modifying a dataset based on certain conditions. These are Insert, Update, and Delete. It means that, while using the Writer ...
Writing into Template Table
You can store the result of algorithm flow or the Reader to a dataset table. Note: You can write to an RDBMS or ODBC (SQL, MySQL, PostgreSQL, or Oracle) datasets only. To write the output data to a template table, follow the steps given below. Build ...
Writing to Template File
You can store the result of algorithm flow or the Reader into a Text dataset. You can use the TemplateFile node to create target file datasets within the application. These target files are stored in Text format and can be reused as Text dataset ...