We continue to improve the products while adding more functionality making Lamatic.ai useful for a wide variety of use cases. This release major highlights are the Postgres Data connector and adding support for more models.

In this release

• ✨ Top Highlights

  • Support for new models

  • Postgres connector

  • Create Scheduled Workflows

• ♦️ Additional Features

• 🛠️ Fixes & Improvements

✨ Top Highlights

Support for new models

We have extended support to 100+ new models including many new providers. This includes some of the industry leading models such as:

1. Anthropic Claude Sonnet 3.5

2. OpenAI GPT-4o

3. Gemini Pro

4. OpenSource Models from Providers

   1. AWS Bedrock

   2. Perplexity

   3. DeepInfra

   4. AnyScale

   5. Replicate

And many many more …

Postgres connector

Lamatic has now enhanced its capabilities by establishing a direct connection with Postgres. This development is particularly crucial for the implementation of complex Generative AI (GenAI) applications. With this new feature, users can seamlessly synchronize data from their Postgres tables and views directly into Lamatic. This integration allows for the automatic execution of workflows, streamlining processes.

Create Scheduled Workflows

When discussing the automation of running workflows, we are excited to announce that we have introduced a more user-friendly method for scheduling jobs. This new feature allows you to effortlessly set up periodic jobs, enabling workflows to run automatically in the background at specified intervals. With this enhancement, managing and automating your tasks has never been simpler, ensuring

♦️ Additional Features

• Delete Organizations and Projects

• Update name of Nodes:

  • Instructor → JSON Generate

  • LLM → Text Generate

  • Agents → AI

• Added help info to fields

• Sending invite to new team members

• Improved naming of ProjectID and Organization ID

• Allow Locking Workflows

• Duplicate option for Test Suites

• Ability to pause and delete projects

• Option to cancel and trigger re-deployment

🛠️  Fixes & Improvements

• Improve: Only allow trigger nodes in trigger area

• Improve: Google Drive LFS (Large File Support)

• Improve: UI for API Key Page

• Improve: Performance of log page

• Improve: Log view loading with Pagination

• Improve: Demarkation for Optional and Required Fields

• Improve: Variable added with a single click

• Improve: Set first model as default model

• Fix: Restrict Test payload adding without Name

• Fix: Deployment Page UI

• Fix: Sometime CORS issue in edge deployment

• Fix: Auto Formatting workflow caused Trigger node to crash

• Fix: Bugs Fixes and Error Handling in Vectorization & Index Node

Thank you so much for your continued support and invaluable feedback! We truly appreciate your engagement and are thrilled to share these exciting improvements with you. Your insights have been instrumental in guiding our enhancements, and we eagerly anticipate hearing your thoughts and experiences with the new updates.