Searching through documents in Microsoft Copilot Studio is essential for building a custom copilot. With tools like Dataverse, SharePoint, and Azure OpenAI, developers have a wide range of options. Each platform offers unique strengths and benefits for integrating documents into Copilot Studio projects.
For creating a custom copilot, it's important to choose the right data source. Options include using Dataverse with no extra costs and no file size limit in terms of number. SharePoint allows for document permissions and supports multiple sites, but with a 3MB file size limit. Azure OpenAI offers support for larger files up to 16MB, but with additional costs.
In comparing these options, using Dataverse and Azure OpenAI provided the most detailed answers in a test scenario. SharePoint delivered the same results regardless of user licensing. It's noted that using Dataverse could be most efficient in terms of cost and ease of integration.
While SharePoint is suitable for projects that need to factor in document permissions, Dataverse is recommended for most cases due to its efficiency and zero additional costs. However, Azure OpenAI is a viable option, despite its higher setup costs, especially for larger files.
After creating your copilot, further customization can be accomplished through the Generative AI page.
In Copilot Studio, you can develop and deploy custom plugins, GPTs, and prompts. It enables the integration of your business data where it's needed, facilitating the generation of conversations, the conversion of these conversations into actionable tasks, the building of your own models, and the expansion of your copilot's reach to critical areas of operation.
The pricing structure for Microsoft Copilot Studio is designed to support scalability. It starts at $200 per month per tenant, covering up to 25,000 messages, with additional packs available for extra volume. For those looking to customize Copilot for Microsoft 365, the Copilot Studio is included within the $30 per user licensing fee.
The capabilities and features of Power Virtual Agents have been integrated into Microsoft Copilot Studio. This transition is a result of significant investments in generative AI and the pursuit of enhanced integrations across the Microsoft Copilot ecosystem.
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