OpenText Knowledge Discovery (IDOL) CE 24.3 is a significant release for the third quarter of CY24. There is an increasing need for companies to reach a greater variety of data, which adds to the complexity of their search types. We allow all customers to achieve a suitable response in their Enterprise-wide search across all levels of an organization.
Now part of Content Services the combination of best of breed products will help organizations who are looking to access all their corporate knowledge through Enterprise search. Bringing additional abilities to derive deeper insights, reach actionable conclusions quicker. A new level of Investigative analytics, across content, teams, and projects. With extra features to report and export securely, having document level security with data delivery tracked end to end.
The Knowledge Discovery (IDOL) 24.3 release includes various functional and performance improvements, new connectors, file format support, and many other additions.
The main improvements in version 24.3 are listed below::
December 2024: What’s new in OpenText Knowledge Discovery CE 24.4
Organizations are looking to access all their enterprise data; but in a world where 90% of existing corporate knowledge is in unstructured formats, over 50% of organizations are not tapping into this aspect of their knowledge with any form of discovery. Customers can use Knowledge Discovery with new interfaces, including using natural language questioning to reach their information securely across all users.
This OpenText Knowledge Discovery (IDOL) 24.4 release includes various functional and performance improvements, new connectors, file format support, and many other additions.
New API added
Search Abstractor Rest API – created to support conversational question and answering with better context for AI generated responses. Conversation server, working with FAQ answers through Answer bank, Fact bank and now LLM’s remembers the context of questions within the conversations service in Knowledge Discovery. Adding to the great governance provided by curated answers.
Filtering support in the Search Abstractor adds parametric fields for pre-filtering of documents. The search results can provide microscopic view of either single or multiple documents through criteria for fine grain filtering. The searching can now utilise prior knowledge to allow focus on RAG document retrieval, by using parametric fields to build a subset of entities for RAG.
Working across text documents and images simultaneously in the search abstractor. Searching can now take criteria of both text and images as search criteria, and the results will also include similar images making Multi Modal search available.
Ingest & connectors
- Salesforce – Updating the connector to stay up to date with the changes in Salesforce.
- Additional Pre filtering for focused selection added to:
- OpenText Core Content Management
- OpenText Content Management
- IBM FileNet P8 Each document in FileNet can have multiple binary files which we now interrogate.
Text analytics
- Analytics: LLM based image matching – Image based transformers can be used to generate vectors for the Knowledge Discovery (IDOL) Index. Customers can now search for similar images based on not just the textual description but also the actual image content.
Media Server
- The Media Server as a NiFi Processor is now available with full functionality. This allow NiFi workflows and the ability to scale and manage the Media Server app though Nifi clustering.
- Demo application with abilities to process and analyze images and other functionalities is now available in the Media Server for ease of use.
File content extraction
- Filtering of Source Code comments
- Support added for Metadata output for;
- .mht files.
- QuickTime (.mov) files.
- Extended format detection, with support for 93 additional file formats.
- In HTML Export the pdf2sr reader to extract images from pages in a PDF file, you can now configure the size of the images to produce.
Deployment & other improvements
- HELM charts for Kubernetes provide a comprehensive set of options to assist complex deployments. With the 24.4 release we bring further enhancements to our HELM charts.
- Named Entity Recognition SDK: You can load multiple grammars and then dynamically turn off what it is not needed for a particular document, allowing the flexibility of swapping grammars with less degradation of performance in comparison to the loading unloading cycle of grammars. The new thing is a reducing of the overall impact of this process.
More Information
Learn more about what Unstructured Data Analytics can do for you.
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The OpenText Content Services team