Jota Quest release
This section includes key information regarding new features included in Aura Platform for Jota Quest and main changes in comparison with previous releases
What’s new in Jota Quest (9.6.0)?
Discover here the new features and modifications at a glance. You can find the technical details in the release changelog and the Release Notes.
Aura Virtual Assistant (Aura Root)
| Novelties | Description |
|---|---|
| Improved Aura configuration provision | ✔️ Changed how Aura handles channels, applications, skills configuration per environment |
| Changed WiFi UC APIs | ✔️ Modified APIs used in WiFi use cases |
| RCS channel in Aura | ✔️ The Rich Communication Services (RCS) channel is available in Aura, designed to enhance traditional SMS and MMS messaging incorporating richer content ✔️ Aura Technical Documentation website now includes detailed descriptive documentation RCS, as well as guidelines for developing use cases in this channel |
| Internal improvements in Aura NLP | ✔️ Enhancements and fixing of CLU-related processes ✔️ Upgrade of Python libraries |
| Internal improvements in Aura Complex Logic Framework | ✔️ Fixed CLF restarting behavior ✔️ Removed legacy code |
| Updated available Telefónica brands | ✔️ The list of available Telefónica brands defined in Kernel has been updated |
| Completed Aura Databricks Jobs documentation | ✔️ Added aura-databricks-jobs execution flowcharts ✔️ Completed troubleshooting |
| Guidelines to update Imagine Dragons configuration | ✔️ Instructions to update Imagine Dragons release configuration ✔️ These guidelines have been applied to Germany, where Imagine Dragons has already been deployed |
| Completed scopes in Kernel datasets configuration | ✔️ The guidelines for the configuration of Kernel datasets have been updated, including missing scopes |
| New section for Aura Virtual Assistant (Aura Root) documentation | ✔️ Created a new top-level section that includes key documentation tailored for different Aura profiles |
| Improvements in Aura Virtual Assistant documents | ✔️ Limit and adapt /docs/components section to Aura Virtual assistant components ✔️ Adapt technical component index and tag documents as components belonging to Aura Virtual assistant or cross to our assistant and ATRIA ✔️ Remove deprecated documents |
| Bugfixing in Jota Quest | ✔️ Resolved problem with variable type date stored as string in Mongo ✔️ Resolved bug for certain dimensional entities in AVRO format that could not be uploaded to Kernel |
ATRIA
| Novelties | Description |
|---|---|
| Improved KPIs writing for aura-gateway-api | ✔️ Update of environment variables related to KPIs writing to increase performance |
| Moved ATRIA components descriptive documentation | ✔️ The descriptive documents for ATRIA components have been reorganized into the ATRIA section, to clearly distinguish them from Aura Virtual Assistant components |
| Modifications in atria-model-gateway swagger | ✔️ The swagger has been modified to adapt to the latest ATRIA functionalities |
| Enhanced Qdrant handling | ✔️ Removal of orphaned Qdrant collections ✔️ Improved generation of names in Qdrant collections with tags |
| Improvements in ATRIA configuration | ✔️ New parameters for the configuration of atria-rag-server project retrievers ✔️ Improved atria-model-gateway error codes in responses ✔️ Included a more detailed definition of ATRIA components configuration parameters ✔️ Added recommendations for data curation, before importing new documents to the system ✔️ Clarified steps for documents uploading |
| Aura Billing Module | ✔️ New tool for the generation of Liceo invoices, that allows charging each customer for the services that she has used |
| Improved ATRIA documentation | ✔️ Enhanced clarity through optimized messaging and visual content ✔️ Adjustments, standardization and improvements of ATRIA functional flowcharts ✔️ Refinement of journeys for building end-to-end experiences in ATRIA ✔️ New section for ATRIA technical components |
| Ported bugfixing Imagine Dragons 9.5.1: Improved ATRIA RAG behavior | ✔️ Prompts in the ATRIA RAG chain have been refined to optimize the accuracy of the responses obtained in the specific scenarios where these responses were not satisfactory |
Last modified March 20, 2025: feat: Text to describe the feature #AURA-27863 [RTM] (f0dd58eb)