Copilot

Copilot Studio [Sample Use Case]: Use files from Azure Blob as Knowledge to Copilot Agents using Azure AI Search

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Azure AI Search enables intelligent, AI-powered search capabilities inside Copilot Studio, allowing bots to retrieve relevant information from structured and unstructured data sources. By integrating Azure AI Search, Copilot can search, rank, and return precise answers from documents, FAQs, policies, and other knowledge bases. Sample Use Cases Step 1: Create an Azure Subscription Azure is […]

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Copilot Studio: Use Azure AI Search as Knowledge in Copilot Agents

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Azure AI Search enables intelligent, AI-powered search capabilities inside Copilot Studio, allowing bots to retrieve relevant information from structured and unstructured data sources. By integrating Azure AI Search, Copilot can search, rank, and return precise answers from documents, FAQs, policies, and other knowledge bases. Advantages Pre-requisite Assumptions before proceeding to create Azure AI Search Service:

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Copilot Studio: Image Uploads in Copilot Agents

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Copilot Studio now allows users to upload images directly into the platform. Once uploaded, Copilot will analyze these images and provide contextually accurate responses based on the visual content. This feature is set to enhance the interaction quality by making AI responses more intuitive and visually informed. In generative mode, we can upload images directly

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Copilot Studio [Sample Use Case]: Custom Copilot Handoff to D365 Customer Service

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With Copilot Studio, we can configure our copilot to hand off conversations to live agents seamlessly and contextually. When your copilot hands off a conversation, it shares the full history of the conversation, and all variables collected in the interaction. Dynamics 365 Customer Service routes incoming escalations to the right queue, and a live agent

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Copilot Studio [Sample Use Case]: Copilot in Custom Website Integrated to Dataverse and AI Builder

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In this post, we’re exploring a practical implementation of Copilot Studio where a Copilot is deployed on a custom website integrated with Dataverse and AI Builder for enhanced functionality. What sets this solution apart is the use of Manual Authentication to securely connect the Copilot to external systems, specifically for interacting with Dataverse data and

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Copilot Studio: How to Configure Manual Authentication

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The “Authenticate Manually” option in Copilot Studio is used to configure custom authentication methods when the default authentication flow is not applicable or desired. It allows developers to create custom authentication flows by managing tokens, credentials, or API keys manually, which are then passed to the Copilot for accessing various services or APIs. Some services

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Copilot Studio : Using Structured Data in Excel as SharePoint Knowledge Source

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In Microsoft Copilot Studio, you can harness structured data from Excel stored in SharePoint by using an Action with the Excel Online connector. This integration enables Copilot to retrieve and utilize Excel data as a knowledge source for automation or user queries. Large Language Models (LLMs) assist in defining the inputs and outputs, streamlining how

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Copilot Studio : How to use Inputs on Topics

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Inputs on topics in Copilot Studio are used to capture information directly from users to dynamically guide the conversation and provide personalized answers. These inputs allow you to define fields where users can enter specific data during a conversation flow, which the Co-pilot uses to generate tailored responses based on that input. This Feature of

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Copilot Studio : Build Multi-Lingual Copilots

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In this post we can cover how to build multi-lingual Copilots in Copilot Studio by adding languages, managing localization files, and updating translations. We just need to learn to download localization files in JSON or RESX formats, utilize translation services, and implement changes which can work in real-time. This tutorial emphasizes the ease of enhancing

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