Introduction to Arcee Orchestra
Last updated
Last updated
Arcee Orchestra is an end-to-end agentic platform for building AI workflows.
Current Way to Build AI Applications
Building and scaling AI agents, agentic workflows, and AI applications is complex and difficult. At a minimum, you need to determine or develop:
What models to use
A framework to orchestrate requests
Tools (APIs, functions, external systems) to integrate
Monitoring and observability capabilities to track performance and costs
Hardware to run on
This complexity is compounded when building multiple agents to work together and then scaling your solution. Additionally, when you're piecing all these components together from different providers, one change from a single provider can impact the performance of your solution or potentially break it entirely.
Arcee Orchestra provides all these components in one, easy to use, low-code/no-code UI that can be consumed through SaaS or deployed fully in your environment. This means you know your agents will run the way you expect regardless of scale, and you can meet the most strict compliance guidelines and regulations because data never needs to leave your environment.
Orchestra is built on top of Arcee's state-of-the-art suite of small language models (SLMs) which are trained to perform exceptionally well in agentic workflows.
There are 4 primary components to Orchestra:
Workflows - allow you to build automations consisting of calls to SLMs/LLMs, connections to external systems, code execution, and more.
Integrations - built-in integrations to the most popular systems to enable easy interaction between external systems.
Chat UI - single interface to chat with your models and invoke workflow automations/agents.
Model Router - the "brain power" behind Orchestra's orchestration. The Orchestra model router understands the automations built by your business and will route requests to the appropriate model or workflow based on the user's prompt.
To see how integrations, workflows, the chat UI, and the model router work together, continue to Getting Started.