Helvia.ai Release 5.64.0
24 October 2024
Last updated
24 October 2024
Last updated
With the new NLP keyword configuration page, bot admins can easily configure keywords for bots, ensuring specific Automated Answers are triggered when these are used as inquiries by the users. This is particularly useful for situations where the bot may struggle to understand requests due to specialized terminology or generic language.
Admins can choose from 3 different modes - strict equality and 2 text similarity algorithms - and configure the similarity threshold and keyword mapping through a user-friendly interface.
To add keywords to trigger a specific response, select 'AI' from the bot's left hand side menu and then the 'Priority Keywords' tab from the top.
Within this page you can select the text similarity algorithm and the sensitivity level of the algorithm. Note that for the 'Exact match' option, the algorithm threshold is set to 1.
To add a keyword or a set of keywords, click on the 'Add Keywords' button at the bottom of the page. Select an Automated Answer from the list and then manually add the keyords or import a list from a CSV file.
Once finished, click 'Save' and continue the process to add keywords for as many responses as you want to be triggered through the keyword mechanism.
With this release, we have reworked the UI/UX for plugins and introduced categories for LLM integration. This allows for better organization and management of plugins, especially for LLM integration, which now has multiple usages and categories. Users can now easily select and activate multiple providers for LLM node, or utilize new plugins for topic modeling and chat-session summarization.
With this feature, bot admins can now enable a plugin that generates a summary and sentiment analysis of chat sessions.
To use this feature, you first need to activate the Summarization LLM plugin, from the 'Plugins' section.
You can select to run this automatically or within the chat sessions on demand. To activate it to run automatically, select 'Settings' in the activated Summarization LLM plugin and switch the toggle to automatically run on session completion.
To run it on demand, go the bot's Sessions, select a specific session you want to summarize, and in the 'Chat Session Details' tab, click 'Generate AI Summary'.
The generated summary and sentiment will apeear like in the below example:
Bot admins can now view the session variables that are stored in each session. This feature gives also the ability to search for chat-sessions that contain a specific variable.
Bot admins can now search for chat sessions that contain a specific tag in the Bot Records → Chat session table.
The latest update allows users to view up to 100 missed questions in Organization Analytics, doubling the previous limit of 50.
With our latest update bots can now handle app mentions more efficiently in Slack channels. This enhancement means that users can now mention the bot in a channel and receive a response in the same channel instead of a private message.
We have made an update to the default RTE (Rich Text Editor) toolbar to enhance user experience. As part of this update, we have removed the headings feature from the default toolbar, as it is no longer necessary for general use. The new default toolbar includes the most commonly used features such as bold, italic, emoji, bullet list, ordered list, link, image, tooltip, and variable. Headings will now only be available in the Knowledge Bases, where they are more relevant and useful.
