Transformation flows – Microsoft SQL Server supported

Transformation flows are now supported in data pipeline projects using Microsoft SQL Server as target. Users can now develop graphical transformations alongside the custom SQL based transformations to support complex requirements for reshaping data.

Adding transformation flows

Qlik Answers

With Qlik Answers, users can unlock the potential of unstructured data through a plug-and-play assistant using Large Language Models (LLMs).

Key Features

Qlik Answers creates an end-to-end RAG solution with two major components.

Knowledge Bases

• Create a repository of knowledge using 8 types of connectors. Use filters and regular expression to define how you want to add data to a knowledge base.

  • Connectors: Qlik Catalog, Amazon S3 and S3 V2, Dropbox, Sharepoint, Azure Storage, Google Cloud Storage, SFTP

  • Accepted files: PDF, DOCX, PPTX, TXT, MD, HTML, ODT, RFT

• Index data sources, in which unstructured data is stored in a vector databases that will be used in the assistants. Users can also set a daily indexing schedule, discover changes in a data source, and view a history of indexed documents.

• Knowledge base access control simplifies the management of which users can ask and view data from different sources.

Assistants

• Ask questions about information in connected knowledge bases and give feedback on answer quality.

• Customize your assistant with a welcome message and conversation starters which are one-click questions that guide end users towards their first questions.

• Review all threads as an Audit Admin and view which threads are marked with positive or negative feedback. If the source content is inaccurate, fix it so that future answers are accurate.

Qlik Answers