Latest Releases
[Beta] SDLC: Project Versions and Change History
This feature is a significant enhancement to our Software Development Life Cycle (SDLC) toolset. It empowers you to manage projects more effectively by allowing to save, annotate, and retrieve versions of your work.
Key functionalities:
Version control for projects
Save projects as versions: Capture the state of your projects at any given time, along with all associated assets such as workflows, config, and solutions. This functionality ensures that you can always retrieve and restore previous versions if needed.
Annotation capabilities: Add information to each version, making it easy to document changes for future reference.
Change tracking
Detailed change information: Access a clear list of changes made within each version. Each version includes a summary highlighting what was changed and who made the change. You can drill down into each individual asset, such as workflows or solutions, to view more granular details.
For more information please see the documentation.
Note: This feature is currently in beta and is rolling out gradually. If you haven't received access yet, please be patient—it will be available to you soon! We will also be adding API support for this functionality shortly.
Improved SDLC: Import Preview
The new feature is designed to provide insights into the impact of project imports before they’re finalized.
Key functionalities:
Project Impact Summary: Before proceeding with an import, you’ll see a high-level overview of the changes to your project. This includes project details and how many workflows and configuration items will be added, removed, or updated as part of the import.
Solution Impact Preview: Embedded users will benefit from a detailed preview of how the import will affect their draft solution. This provides deeper visibility into potential breaking changes and outlines the specific actions required to upgrade existing solution instances after the import.
Slot-Level Information: For each change, users can view detailed information on every slot that will be added, updated, or removed if the import proceeds. This includes a detailed diff of the slot data, along with explanations of whether the changes are breaking or non-breaking, and the reasons behind them.
For more information, please see our documentation.
Note: This feature is rolling out gradually. If you don’t have access just yet, hang tight—it’s coming soon! We will also be rolling out API support for this functionality soon.
Improved SDLC: Import Enhancements
As part of our ongoing improvements to the SDLC process, we’re rolling out several enhancements to the project import experience.
Key Enhancements:
Scope Information for Auth Selection: When mapping authentications during import, you’ll receive a warning if the selected authentication has mismatching scopes or differs from the one in the destination environment, preventing common errors.
Custom Services & Connectors Mapping: Users can now map custom services and connectors during import. This is especially useful when working with custom connectors across multiple organisations (e.g. embedded and multi-region)
Missing Dependencies Information: Instead of generic errors, users will now see specific information about missing workflows or dependencies, making it easier to resolve issues.
Improved Error Handling: Error messages during the import process have been enhanced with clearer explanations and actionable steps for resolution, simplifying troubleshooting.
Note: The rollout is happening gradually, so if these features aren’t available to you yet, they will be soon.
More information in the documentation:
Merlin Text Generation (Beta)
We are making our Merlin Native AI capabilities easier to find and use within the app. Text generation and summarization operations are the first two capabilities in this connector.
Merlin Text Analysis (Beta)
We are making our Merlin Native AI capabilities easier to find and use within the app. Sentiment analysis and classification operations are the first two capabilities in this connector.
Merlin IDP (Beta)
We are migrating all functionality from the Merlin Extract connector to this new connector and deploying two new operations: Convert to Markdown and Convert to HTML
Use Composite AI to extract important data from PDFs and Images.
Merlin IDP brings native AI Capabilities to the Tray platform. Use this tooling to extract important information from contracts, invoices, receipts and more.
Each Extraction job returns the data you queried and a confidence interval for the returned information.
All of our native AI capabilities are private and secure because they run directly in our cloud infrastructure within the region of your Tray instance.
Vector Tables (Beta)
Overview:Copy
Vector Tables introduce a seamless way to store and process vector embeddings directly within the Tray.ai platform. This new capability is a core component Chatbots, AI Assistants, Agents, RAG pipelines, and most other AI Applications. Make AI trustworthy with Vector Tables by grounding your it with your proprietary and up-to-the-minute data.
Key Features:Copy
Integrated Vector Storage: Store, manage, and query vectors directly in Tray.ai to enable AI-powered workflows and applications.
High-Performance Search & Retrieval: Efficiently retrieve and compare vector-based data, allowing for quick similarity searches and enhanced AI functionalities.
Enhanced AI Workflows: Unlocks the power of AI by allowing models to access a wider range of data, enhancing applications like chatbots, personalized recommendations, and semantic search.
Benefits:Copy
Rapid AI Implementation: Build and deploy AI solutions faster without needing additional vector-specific tools or databases.
All-in-One Platform: Manage your vector data securely within Tray.ai, streamlining the process of building AI-driven services and automations.
Improved Data Security: Vector Tables are stored securely in Tray-owned databases, with no data leaving the platform, ensuring compliance with security and governance standards.
Use Cases:Copy
Chatbots Leveraging Company Knowledge: Deploy AI chatbots (e.g., on Slack) that can access your company’s data for:
Sales teams creating high-quality follow-ups.
IT teams to automatically resolve common support tickets.
Customer success teams to streamline communication with customers.
Learn more in our documentation on the feature.
This release includes the vector-tables connector.
UI Fix: Edit Data Mapping Option and Deselection Confirmation
We've added a new 'Edit Data Mapping' option and a deselection confirmation to the UI to help prevent unintended edits.
