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- Add Azure AI Search as a knowledge source - Microsoft Copilot Studio
Copilot Studio supports vectorized indexes using integrated vectorization Prepare your data and choose an embedded model, then use Import and vectorize data in Azure AI Search to create vector indexes
- RAG Vector Database best practices for CoPilot Studio
I have been working with Microsoft Gen AI LLM tools (Azure OpenAI Studio and CoPilot Studio) for building a custom 'agent' for answering questions about a set of company internal documents It seems like RAG is the best approach and fine-tuning would be overkill
- Whats the best way to vectorize Sharepoint data for AI Search?
What's the best way to vectorize Sharepoint data for AI Search? I'm trying to build a custom Copilot using the Copilot Studio Connecting to the Sharepoint site using a URL does not use vector search, but Keyword-based Graph API
- Build a RAG based agent with your own data using Microsoft Copilot Studio
Step 3: After adding the knowledge source file, Copilot Studio will automatically do vectorization processing, and the status is In progress indicating that it is being processed, and the
- Multi-agent orchestration and more: Copilot Studio announcements . . .
The Copilot Studio Visual Studio Code extension is designed with professional developers in mind, bringing familiar tooling and workflows to the world of agent development Now available in the Visual Studio Marketplace, this extension lets you connect directly to Copilot Studio and edit agents from within Visual Studio Code, enabling a modern
- Customizing Copilots with own data Using Azure AI search, Azure AI . . .
Custom copilots can be created by using generative AI features as well If copilots are to be created based on different LLM models and different data sources, Azure AI Studio can be used Data can be stored in Azure Blob storage, and vectorization can be done using Azure AI search
- How to Use Copilot Studio to Answer Questions About Images
Vectorization – The document's content, including text and images, is converted into an AI-searchable format Indexing and Chunking – The AI system segments the document into smaller, easily retrievable chunks Key Insight: At present, Dataverse is the only supported storage method for image-based document search in Copilot Studio
- microsoft Power-CAT-Copilot-Studio-Kit - GitHub
Copilot Studio Kit allows makers to configure agents, tests and test sets, and use them to batch test their custom agents Test runs produce detailed results including latencies, observed responses and run level aggregates
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