Lamatic.ai Howto

Lamatic.ai is a streamlined, low-code platform designed to seamlessly integrate Large Language Models (LLMs) into applications using real-time data, offering a complete GenAI tech stack with edge deployment capabilities.
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How to Use Lamatic.ai

Sign Up: Visit Lamatic.ai and click the Sign Up button to create an account and get started with the platform
Create a New Project: From the Project Home dashboard, create a new project workspace where you'll build your GenAI application
Build Flow in Studio: Use the Flow Builder's drag-and-drop interface to create your workflow by connecting different nodes (AI, Data, Logic, etc.) to build your application logic
Configure Nodes: Set up each node in your flow by filling in required fields and configuring settings specific to that node's function (AI models, data sources, logic conditions, etc.)
Add Integrations: Connect third-party sources and destinations to your workflow using built-in connectors like Zapier, or utilize the pre-built templates for faster development
Set Up Vector Database: If needed, provision a managed Weaviate vector database instance from the Vector Stores dashboard for storing and retrieving semantic vector representations
Test and Experiment: Use the testing tools to run experiments on your flow, optimizing embeddings, prompts, and models while monitoring performance in real-time
Deploy Application: Deploy your application to the edge network in under 60 seconds, either as a GraphQL API or custom widget
Monitor and Analyze: Use the dashboard to monitor performance, view logs, analyze usage metrics, and make data-driven optimizations
Iterate and Scale: Continue to improve your application using the analytics and monitoring tools, while scaling automatically with the managed infrastructure

Lamatic.ai FAQs

Yes. Lamatic is available to all users. You just need to click Sign Up to start building.

Lamatic.ai Monthly Traffic Trends

Lamatic.ai received 7.9k visits last month, demonstrating a Significant Growth of 68.2%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
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