update azure diag.

README.md

@@ -8,7 +8,7 @@ This is an envisioning workshop, based on [Microsoft's Copilot stack](https://le
 > **Note**  
 > *Work in Progress*. Meanwhile, signup at [intelligentapp.dev](https://intelligentapp.dev) for updates and checkout our related repo that showcases Generative AI capabilities for cloud-native, event-driven microservices: [Azure/reddog-solutions](https://github.com/Azure/reddog-solutions#readme). As a mandatory pre-requisite, please signup for [Azure OpenAI (AOAI)](https://customervoice.microsoft.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR7en2Ais5pxKtso_Pz4b1_xUOFA5Qk1UWDRBMjg0WFhPMkIzTzhKQ1dWNyQlQCN0PWcu) and complete [Getting started with AOAI module](https://learn.microsoft.com/en-us/training/modules/get-started-openai/) to benefit from this workshop
 >
-> For a preview, catch the [recording on Cosmos DB Live TV](https://www.youtube.com/watch?v=V8dlEvXdGEM&t=144s)
+> :tv: For a preview, catch the [recording on Cosmos DB Live TV](https://www.youtube.com/watch?v=V8dlEvXdGEM&t=144s)
 >
 > <p align="left"><a href="http://www.youtube.com/watch?feature=player_embedded&v=V8dlEvXdGEM&t=144s" target="_blank"><img src="docs/assets/images/video_recording.png" alt="Miyagi walkthrough" width="40%" height="40%" border="10" /></a></p> 
 

docs/index.md

@@ -6,7 +6,7 @@ Inspired by Github Copilot's impact on developer productivity, this experiential
 
 !!! note ""
 
-    For a preview, catch the [recording on :simple-youtube: Cosmos DB Live TV](https://www.youtube.com/watch?v=V8dlEvXdGEM&t=144s). For an overview on mental models, see [this video from :simple-youtube: Semantic Kernel's Channel](https://www.youtube.com/watch?v=EueJTTuluVQ&t=750s).
+   :tv: For a preview, catch the [recording on :simple-youtube: Cosmos DB Live TV](https://www.youtube.com/watch?v=V8dlEvXdGEM&t=144s). For an overview on mental models, see [this video from Semantic Kernel's Channel](https://www.youtube.com/watch?v=EueJTTuluVQ&t=750s).
 
 
 

docs/wksp/00-intro/agenda-and-outcomes.md

@@ -24,7 +24,7 @@
     1. Agents with Semantic Kernel, Autogen, and TaskWeaver
 1. Deep-dive into AI orchestration primitives through use cases with Miyagi and Reddog
 1. Exploring Agents and Agent-like Orchestration
-1. Tradeoffs with AI orchestrators (Semantic Kernel, Langchain, TypeChat, PromptFlow etc.)
+1. Tradeoffs with AI orchestrators (Semantic Kernel, Langchain, Guidance, TypeChat, PromptFlow etc.)
 1. Copilot Studio and Power Platform
 1. AI Studio and Prompt Flow
 1. AI Content Safety Studio

docs/wksp/00-intro/architecture-overview.md

@@ -46,6 +46,9 @@ In summary, Project Miyagi's architecture presents a forward-looking approach to
 
 - [Azure OpenAI](https://learn.microsoft.com/en-us/azure/cognitive-services/openai/concepts/models)
 - [Semantic Kernel](https://github.com/microsoft/semantic-kernel)
+- [LangChain](https://python.langchain.com/docs/get_started/introduction)
+- [LlamaIndex](https://docs.llamaindex.ai/en/stable/)
+- [GitHub Copilot Agent](https://gh.io/copilot-partner-program)
 - [AI Studio](https://azure.microsoft.com/en-us/products/ai-studio)
 - [AI Search](https://azure.microsoft.com/en-us/products/ai-services/ai-search)
 - [AI Speech](https://azure.microsoft.com/en-us/products/ai-services/ai-speech)
@@ -66,5 +69,3 @@ In summary, Project Miyagi's architecture presents a forward-looking approach to
 - [Azure DB for PostgreSQL](https://azure.microsoft.com/en-us/products/postgresql)
 - [Azure Redis Cache](https://azure.microsoft.com/en-us/products/cache)
 - [Azure Storage](https://learn.microsoft.com/en-us/azure/storage/common/storage-introduction)
-- [LangChain](https://github.com/hwchase17/langchain#readme)
-- [LlamaIndex](https://github.com/run-llama/llama_index)