Add references to additional code samples in all lesson 3 docs

Co-authored-by: elbruno <[email protected]>

Author: Copilot

03-CoreGenerativeAITechniques/01-lm-completions-functions.md

@@ -137,6 +137,8 @@ When building AI applications you are not limited to just text-based interaction
 There are a couple of setup steps you need to take in order to call functions with MEAI.
 
 > 🧑‍💻**Sample code**: [Here is a working example of function calling](./src/MEAIFunctions/) you can follow along with. To run this example, follow the same steps as for the previous examples, but navigate to `03-CoreGenerativeAITechniques/src/MEAIFunctions` directory.
+>
+> We also have examples showing function calling with [Azure OpenAI](./src/MEAIFunctionsAzureOpenAI/) and [Ollama](./src/MEAIFunctionsOllama/).
 
 1. First, of course, define the function that you want the chatbot to be able to call. In this example we're going to get the weather forecast.
 

03-CoreGenerativeAITechniques/02-retrieval-augmented-generation.md

@@ -38,6 +38,12 @@ We'll use the Microsoft.Extension.AI along with the [Microsoft.Extensions.Vector
 > 🧑‍💻**Sample code:** You can follow along with the [sample code here](./src/RAGSimple-02MEAIVectorsMemory/).
 > 
 > You can also see how to implement a RAG app [using Semantic Kernel by itself in our sample source code here](./src/RAGSimple-01SK/).
+>
+> We have additional RAG examples for different vector stores and models:
+> - [RAGSimple-03MEAIVectorsAISearch](./src/RAGSimple-03MEAIVectorsAISearch/) - Using Azure AI Search as a vector store
+> - [RAGSimple-04MEAIVectorsQdrant](./src/RAGSimple-04MEAIVectorsQdrant/) - Using Qdrant as a vector store
+> - [RAGSimple-10SKOllama](./src/RAGSimple-10SKOllama/) - Using Semantic Kernel with Ollama
+> - [RAGSimple-15Ollama-DeepSeekR1](./src/RAGSimple-15Ollama-DeepSeekR1/) - Using Ollama with DeepSeek-R1 model
 
 ### Populating the knowledge store
 

03-CoreGenerativeAITechniques/03-vision-audio.md

@@ -21,6 +21,11 @@ Ok - so we're going to put the model through its paces and ask it if it can tell
 ![A composite showing both images the example will use. The first is several runners but only showing their legs. The second is a German restaurant receipt](./images/example-visual-image.png)
 
 > 🧑‍💻**Sample code**: You can follow [along with sample code here](./src/Vision-01MEAI-GitHubModels/).
+>
+> We also have examples showing vision capabilities with:
+> - [Ollama](./src/Vision-02MEAI-Ollama/) - Using local Ollama models for vision tasks
+> - [Azure OpenAI](./src/Vision-03MEAI-AOAI/) - Using Azure OpenAI for vision tasks
+> - [Azure OpenAI with Spectre UI](./src/Vision-04MEAI-AOAI-Spectre/) - A more advanced UI using the Spectre console library
 
 1. We're using MEAI and GitHub Models, so instantiate the `IChatClient` as we have been. Also start to create a chat history.
 

03-CoreGenerativeAITechniques/04-agents.md

@@ -20,7 +20,10 @@ We'll be working with a couple of new concepts in order to build an AI agent in
 
 > 🧑‍💻**Sample code**: We'll be working from the [AgentLabs-01-Simple sample](./src/AgentLabs-01-Simple/) for this lesson.
 >
-> We did include some more advanced samples in the `/src/` folder as well. You can view the README's of [AgentLabs-02-Functions](./src/AgentLabs-02-Functions/) or [AgentLabs-03-OpenAPIs](./src/AgentLabs-03-OpenAPIs/) or [AgentLabs-03-PythonParksInformationServer](./src/AgentLabs-03-PythonParksInformationServer/) for more info on them.
+> We also have more advanced agent examples:
+> - [AgentLabs-02-Functions](./src/AgentLabs-02-Functions/) - Showing how to create custom functions for your agents
+> - [AgentLabs-03-OpenAPIs](./src/AgentLabs-03-OpenAPIs/) - Demonstrating how agents can use OpenAPI specifications
+> - [AgentLabs-03-PythonParksInformationServer](./src/AgentLabs-03-PythonParksInformationServer/) - A Python server that works with the OpenAPI example
 
 ### Azure AI Agent Service