Visual Builder 2

Open-source tool for building document question-answering systems with local AI models. RLAMA (Retrieval-Augmented Local Assistant Model Agent) is an open-source AI solution that integrates with local AI models to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems. It allows users to build powerful document question-answering systems with multiple document formats, advanced semantic chunking, and local storage and processing.

Managed PaaS for building, testing, and deploying GenAI apps on the edge. Lamatic.ai is a managed PaaS (Platform as a Service) designed for building, testing, and deploying GenAI (Generative AI) applications on the edge. It features a low-code visual builder, VectorDB powered by Weaviate, and integrations to apps and models. It offers tools for flow building, integrations, edge deployment, monitoring, and seamless integration with GraphQL and webhooks. Lamatic.ai aims to simplify the development and deployment of AI agents, providing a collaborative builder and zero-ops serverless platform.