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Introducing Lyzr

Lyzr is an agent framework with an agentic approach to building generative AI applications. Its highly configurable agents come with pre-built RAG pipelines, safe and responsible features, allowing you to build and launch enterprise ready agents in minutes. Agents can be built and tested on Lyzr’s Studio or can be directly used with the help of the REST APIs that are available. With Lyzr, you can build chatbots, knowledge search, data analysis, RAG-powered apps, and multi-agent workflow automation with minimal effort.

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Lyzr’s Safe and Responsible AI Architecture

Lyzr Safe and Responsible Architecture Lyzr’s framework incorporates Lyzr’s proprietory Safe and Responsible AI features within the agent inferencing flow. This allows every agent built on the platform to take advantage of these protections and deliver results with high accuracy.

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Who is Lyzr for?

For Developers - you will love the simplicity of the framework and appreciate the ability to build generative AI apps rapidly. For CTOs, CPOs - integrate generative AI features into your apps seamlessly with configurable agents with a vast array of features, all with your in-house tech team. The required learning curve to build on Lyzr is literally just a few minutes. For CIOs - introduce generative AI to your enterprise with Lyzr’s proprietory Safe and Responsible AI architecture, ensuring security, privacy and accuracy. And Lyzr’s AI Management System (AIMS) makes it easy to manage agents, monitor events logs, build using AI studios, and even help your team learn generative AI with the in-built Lyzr academy.

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What can you build on Lyzr’s agent framework?

  1. Lyzr Agents: Deploy in minutes
Create agents in Lyzr Studio or directly through the APIs. The agents’ rich feature set and tool capabilities allows you to create your own tailor made agent.
  1. Lyzr Multi-Agent Orchestration
Lyzr provides two modes of orchestration
  • Orchestration with Workflows - In cases where the workflow is well defined with multiple dependent tasks, the entire flow can be orchestrated using Lyzr’s DAG Agent Orchestration. An example would be Lyzr’s AI SDR. A task can be dependent on multiple other tasks or multiple tasks can be dependent on a single tasks or anything in between. Lyzr’s orchestration will ensure all dependencies are resolved and executed in perfect order. All this while ensuring complete traceability.
  • Managerial orchestration - This style of orchestration is more suited for dynamic workflows. Depending on the end goal, the manager agent breaks down the task and invokes the agents available to it to perform a subtask. At every step, the manager observes and determines the next course of action. This could be retrying in case of faults or invoking another agent.

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How is Lyzr different from competitors?

Lyzr vs Competitors Langchain - building blocks way of building generative AI apps DSPy - programmatic way of building generative AI apps LlamaIndex - modular way of building generative AI apps with organizations data Lyzr - agentic way of building generative AI apps