How to Use Teammates for Large Language Models
Introduction: Teammates, a key module of the groundbreaking Workforce platform, is designed to take your Large Language Models (LLMs) to the next level. This guide will walk you through the process of using Teammates to build custom AI applications that can interact with **anything**, from vector databases and PDF OCR to webhooks, APIs, and open web content.
Step 1: Understand Teammates: Teammates are Generative AI and automations at scale, allowing you to run your custom Enterprise AI Tool in one click. They are designed to provide a seamless, low-code interface for building end-to-end custom LLM apps.
Step 2: Access Teammates: To start using Teammates, log into Workforce app . If you don't have an account yet, register for one on the Workforce website.
Step 3: Create a New Project: Once you're logged in, navigate to My Teammates module and click "+ Add New" in upper right hand corner. Then you can choose one of available Templates by clicking 'Use Template' button or create a new Teammate from scratch by clicking 'Create New'.
Step 3b: Another way to start from Template: Once you're logged in, navigate to the Templates menu, Select your Teammate by clicking "Use Template". This will open a new Teammate Builder where you'll build your custom AI application based on selected Template.
Step 4: Choose Your Teammate Model: One of the key features of Workforce is the ability to switch between top LLM chat providers. Choose the provider that best suits your needs, whether it's OpenAI, Anthropic, Meta, Mistral. Default OpenAI Assistant agent allows to choose only among OpenAI and Azure OpenAI models. To get an access to non-OpenAI models in Teammate model section remove OpenAI Assistant Agent and add Basic Agent.
Step 5: Design Your AI Workflow: With Workforce, you can easily design, test, and deploy AI workflows to customize every detail of the AI experience. Use Teammate Builder interface to build a Teammate from components.
Step 6: Integrate Files and APIs: Unlock limitless possibilities by integrating your LLM with various file types and APIs. This unrestricted file integration allows your LLM to engage with an expansive digital ecosystem.
Step 7: Customize Your AI Experience: Create custom-tailored AI experiences by chaining different prompts and transformations together. You can also access a library of ready-to-use templates for common use cases like customer service chatbots and document processing.
Step 8: Test and Deploy: Once you're satisfied with your AI workflow, it's time to chat with your agent or test and deploy. Workforce allows for rapid prototyping, enabling you to test multiple prompts and LLM architectures in minutes. Once testing is complete, you can deploy your AI application with minimal latency by clicking the "API Settings" in 'More' menu in upper right hand corner, or chat directly with the agent by clicking the "Chat" icon.
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Conclusion: Workforce offers a revolutionary approach to building custom AI applications. With its user-friendly interface, vendor flexibility, and comprehensive AI interaction capabilities, it's never been easier to harness the power of Large Language Models. Start using Teammates today and take your AI applications to the next level.
Step 1: Understand Teammates: Teammates are Generative AI and automations at scale, allowing you to run your custom Enterprise AI Tool in one click. They are designed to provide a seamless, low-code interface for building end-to-end custom LLM apps.
Step 2: Access Teammates: To start using Teammates, log into Workforce app . If you don't have an account yet, register for one on the Workforce website.
Step 3: Create a New Project: Once you're logged in, navigate to My Teammates module and click "+ Add New" in upper right hand corner. Then you can choose one of available Templates by clicking 'Use Template' button or create a new Teammate from scratch by clicking 'Create New'.
Step 3b: Another way to start from Template: Once you're logged in, navigate to the Templates menu, Select your Teammate by clicking "Use Template". This will open a new Teammate Builder where you'll build your custom AI application based on selected Template.
Step 4: Choose Your Teammate Model: One of the key features of Workforce is the ability to switch between top LLM chat providers. Choose the provider that best suits your needs, whether it's OpenAI, Anthropic, Meta, Mistral. Default OpenAI Assistant agent allows to choose only among OpenAI and Azure OpenAI models. To get an access to non-OpenAI models in Teammate model section remove OpenAI Assistant Agent and add Basic Agent.
Step 5: Design Your AI Workflow: With Workforce, you can easily design, test, and deploy AI workflows to customize every detail of the AI experience. Use Teammate Builder interface to build a Teammate from components.
Step 6: Integrate Files and APIs: Unlock limitless possibilities by integrating your LLM with various file types and APIs. This unrestricted file integration allows your LLM to engage with an expansive digital ecosystem.
Step 7: Customize Your AI Experience: Create custom-tailored AI experiences by chaining different prompts and transformations together. You can also access a library of ready-to-use templates for common use cases like customer service chatbots and document processing.
Step 8: Test and Deploy: Once you're satisfied with your AI workflow, it's time to chat with your agent or test and deploy. Workforce allows for rapid prototyping, enabling you to test multiple prompts and LLM architectures in minutes. Once testing is complete, you can deploy your AI application with minimal latency by clicking the "API Settings" in 'More' menu in upper right hand corner, or chat directly with the agent by clicking the "Chat" icon.
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Conclusion: Workforce offers a revolutionary approach to building custom AI applications. With its user-friendly interface, vendor flexibility, and comprehensive AI interaction capabilities, it's never been easier to harness the power of Large Language Models. Start using Teammates today and take your AI applications to the next level.
Updated on: 06/02/2025
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