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Merged
sdgilley merged 5 commits into from
Jun 25, 2025
Merged

Update notebook metadata for docs #264

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e453e27
update model and add metadate
sdgilley Jun 25, 2025
80ac006
move metadata to code cell
sdgilley Jun 25, 2025
d9afb40
update codeowners
sdgilley Jun 25, 2025
15b14ad
Merge branch 'main' of github.com:Azure-Samples/azureai-samples into …
sdgilley Jun 25, 2025
7bbb56e
chore: Run nb-clean
kdestin Jun 25, 2025
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17 changes: 16 additions & 1 deletion .github/CODEOWNERS
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Expand Up @@ -5,4 +5,19 @@
# Default owner for everything, unless overridden by a more specific rule.
* @Azure-Samples/azure-ai-samples-maintainers

scenarios/docs @Azure-Samples/azure-ai-samples-maintainers @Azure-Samples/AI-Platform-Docs

#### files referenced in docs (DO NOT EDIT, except for Docs team!!!) ###################
/scenarios/projects/basic/chat-simple.py @azure-samples/AI-Platform-Docs
/scenarios/projects/basic/chat-template.py @azure-samples/AI-Platform-Docs
/scenarios/rag/custom-rag-app/assets/chat_eval_data.jsonl @azure-samples/AI-Platform-Docs
/scenarios/rag/custom-rag-app/assets/grounded_chat.prompty @azure-samples/AI-Platform-Docs
/scenarios/rag/custom-rag-app/assets/intent_mapping.prompty @azure-samples/AI-Platform-Docs
/scenarios/rag/custom-rag-app/assets/products.csv @azure-samples/AI-Platform-Docs
/scenarios/rag/custom-rag-app/chat_with_products.py @azure-samples/AI-Platform-Docs
/scenarios/rag/custom-rag-app/config.py @azure-samples/AI-Platform-Docs
/scenarios/rag/custom-rag-app/create_search_index.py @azure-samples/AI-Platform-Docs
/scenarios/rag/custom-rag-app/evaluate.py @azure-samples/AI-Platform-Docs
/scenarios/rag/custom-rag-app/get_product_documents.py @azure-samples/AI-Platform-Docs
/scenarios/rag/custom-rag-app/requirements.txt @azure-samples/AI-Platform-Docs
/scenarios/langchain/getting-started-with-langchain-chat-models.ipynb @azure-samples/AI-Platform-Docs
/scenarios/langchain/getting-started-with-langchain-embeddings.ipynb @azure-samples/AI-Platform-Docs
52 changes: 37 additions & 15 deletions scenarios/langchain/getting-started-with-langchain-chat-models.ipynb
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Expand Up @@ -26,7 +26,7 @@
"\n",
" 1. Create an [Azure subscription](https://azure.microsoft.com).\n",
" 2. Create an Azure AI hub resource as explained at [How to create and manage an Azure AI Studio hub](https://learn.microsoft.com/en-us/azure/ai-studio/how-to/create-azure-ai-resource).\n",
" 3. Deploy one model supporting the [Azure AI model inference API](https://aka.ms/azureai/modelinference). In this example we use a `Mistral-Large-2407` and a `Mistral-Small` deployment. \n",
" 3. Deploy one model supporting the [Azure AI model inference API](https://aka.ms/azureai/modelinference). In this example we use a `mistral-medium-2505` and a `Mistral-Small` deployment. \n",
"\n",
" * You can follow the instructions at [Add and configure models to Azure AI model inference service](https://learn.microsoft.com/azure/ai-studio/ai-services/how-to/create-model-deployments)."
]
Expand Down Expand Up @@ -54,7 +54,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "create_client"
},
"outputs": [],
"source": [
"import os\n",
Expand All @@ -63,7 +65,7 @@
"model = AzureAIChatCompletionsModel(\n",
" endpoint=os.environ[\"AZURE_INFERENCE_ENDPOINT\"],\n",
" credential=os.environ[\"AZURE_INFERENCE_CREDENTIAL\"],\n",
" model=\"mistral-large-2407\",\n",
" model=\"mistral-medium-2505\",\n",
")"
]
},
Expand All @@ -84,7 +86,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "human_message"
},
"outputs": [],
"source": [
"from langchain_core.messages import HumanMessage, SystemMessage\n",
Expand Down Expand Up @@ -181,15 +185,17 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "create_producer_verifier"
},
"outputs": [],
"source": [
"from langchain_azure_ai.chat_models import AzureAIChatCompletionsModel\n",
"\n",
"producer = AzureAIChatCompletionsModel(\n",
" endpoint=os.environ[\"AZURE_INFERENCE_ENDPOINT\"],\n",
" credential=os.environ[\"AZURE_INFERENCE_CREDENTIAL\"],\n",
" model=\"mistral-large-2407\",\n",
" model=\"mistral-medium-2505\",\n",
")\n",
"\n",
"verifier = AzureAIChatCompletionsModel(\n",
Expand All @@ -209,7 +215,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "generate_poem"
},
"outputs": [],
"source": [
"from langchain_core.prompts import PromptTemplate\n",
Expand Down Expand Up @@ -242,7 +250,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "create_output_parser"
},
"outputs": [],
"source": [
"from langchain_core.output_parsers import StrOutputParser\n",
Expand All @@ -260,7 +270,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "create_chain"
},
"outputs": [],
"source": [
"chain = producer_template | producer | parser | verifier_template | verifier | parser"
Expand All @@ -276,7 +288,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "create_multiple_outputs_chain"
},
"outputs": [],
"source": [
"generate_poem = producer_template | producer | parser\n",
Expand All @@ -286,7 +300,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "create_chain_with_passthrough"
},
"outputs": [],
"source": [
"from langchain_core.runnables import RunnablePassthrough, RunnableParallel\n",
Expand All @@ -304,7 +320,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "invoke_chain"
},
"outputs": [],
"source": [
"chain.invoke({\"topic\": \"living in a foreign country\"})"
Expand All @@ -329,7 +347,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "configure_logging"
},
"outputs": [],
"source": [
"import sys\n",
Expand Down Expand Up @@ -363,7 +383,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "create_client_with_logging"
},
"outputs": [],
"source": [
"import os\n",
Expand All @@ -372,7 +394,7 @@
"model = AzureAIChatCompletionsModel(\n",
" endpoint=os.environ[\"AZURE_INFERENCE_ENDPOINT\"],\n",
" credential=os.environ[\"AZURE_INFERENCE_CREDENTIAL\"],\n",
" model=\"mistral-large-2407\",\n",
" model=\"mistral-medium-2505\",\n",
" client_kwargs={\"logging_enable\": True},\n",
")"
]
Expand Down
16 changes: 12 additions & 4 deletions scenarios/langchain/getting-started-with-langchain-embeddings.ipynb
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Expand Up @@ -54,7 +54,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "create_embed_model_client"
},
"outputs": [],
"source": [
"import os\n",
Expand Down Expand Up @@ -84,7 +86,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "create_vector_store"
},
"outputs": [],
"source": [
"from langchain_core.vectorstores import InMemoryVectorStore\n",
Expand All @@ -102,7 +106,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "add_documents"
},
"outputs": [],
"source": [
"from langchain_core.documents import Document\n",
Expand All @@ -124,7 +130,9 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"name": "search_similarity"
},
"outputs": [],
"source": [
"results = vector_store.similarity_search(query=\"thud\", k=1)\n",
Expand Down
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