{"id":1328,"date":"2025-04-25T23:19:35","date_gmt":"2025-04-25T23:19:35","guid":{"rendered":"https:\/\/www.naveedulhaq.com\/?p=1328"},"modified":"2025-04-26T00:17:53","modified_gmt":"2025-04-26T00:17:53","slug":"natural-language-qa-in-optimizely-cms-using-azure-openai-and-ai-search","status":"publish","type":"post","link":"https:\/\/www.naveedulhaq.com\/index.php\/episerver\/natural-language-qa-in-optimizely-cms-using-azure-openai-and-ai-search\/","title":{"rendered":"Natural Language Q&A in Optimizely CMS Using Azure OpenAI and AI Search"},"content":{"rendered":"\n

In Part 2<\/a>, we integrated Azure AI Search with Azure Personalizer to build a smarter, user-focused experience in Optimizely CMS. We used ServiceAPI to send CMS content to Azure AI Search. In Part 3, we\u2019ll take things a step further: enabling users to ask natural language questions and get AI-powered answers.<\/p>\n\n\n\n

But here’s the twist: instead of using ServiceAPI, this time we\u2019ll explore how to query indexed content directly<\/em> using Azure AI Search\u2019s REST API.<\/p>\n\n\n\n

Why Natural Language Q&A?<\/h2>\n\n\n\n

Sometimes users don\u2019t know the exact keywords. They ask things like:<\/p>\n\n\n\n

\n

\u201cHow do I return a product?\u201d
\u201cCan I book a demo?\u201d<\/p>\n<\/blockquote>\n\n\n\n

With OpenAI on Azure and the semantic capabilities of Azure AI Search, your website can now understand those queries and provide helpful, contextual responses.<\/p>\n\n\n\n

Architecture Overview<\/h2>\n\n\n\n

The updated flow<\/p>\n\n\n\n

    \n
  1. CMS content is indexed by Azure AI Search (via ServiceAPI or crawler).<\/li>\n\n\n\n
  2. The search index is enriched with semantic settings.<\/li>\n\n\n\n
  3. A user types a natural language query.<\/li>\n\n\n\n
  4. Your backend uses Azure Search\u2019s Semantic Search + Azure OpenAI (chat\/completion API) to return a contextual answer.<\/li>\n<\/ol>\n\n\n\n
    \"AI<\/figure>\n\n\n\n

    Using Azure Search API to Extract Content<\/h2>\n\n\n\n

    You can directly access indexed content using the Azure Search REST API. Here\u2019s an example of how to fetch top 5 results:<\/p>\n\n\n\n

    public async Task<List<string>> SearchAzureContentAsync(string query)\n{\n    var searchServiceName = \"<your-search-service-name>\";\n    var indexName = \"<your-index-name>\";\n    var apiKey = \"<your-api-key>\";\n\n    using var client = new HttpClient();\n    client.DefaultRequestHeaders.Add(\"api-key\", apiKey);\n\n    var url = $\"https:\/\/{searchServiceName}.search.windows.net\/indexes\/{indexName}\/docs?api-version=2021-04-30-Preview&search={query}&$top=5\";\n    var result = await client.GetStringAsync(url);\n    \n    var json = JsonDocument.Parse(result);\n    var docs = new List<string>();\n\n    foreach (var item in json.RootElement.GetProperty(\"value\").EnumerateArray())\n    {\n        docs.Add(item.GetProperty(\"content\").GetString());\n    }\n\n    return docs;\n}<\/code><\/pre>\n\n\n\n
    Generate Answer Using Azure OpenAI<\/h2>\n\n\n\n
    Once we retrieve relevant documents, we\u2019ll pass them into Azure OpenAI to generate a contextual answer:<\/p>\n\n\n\n
    public async Task<string> AskOpenAiAsync(string question, List<string> context)\n{\n    var prompt = $\"\"\"\nYou are a helpful assistant. Based on the following content, answer the question:\n\n{string.Join(\"\\n\\n\", context)}\n\nQuestion: {question}\nAnswer:\n\"\"\";\n\n    var openAiKey = \"<your-openai-key>\";\n    var endpoint = \"https:\/\/<your-openai-endpoint>.openai.azure.com\/openai\/deployments\/<deployment-name>\/completions?api-version=2022-12-01\";\n\n    var payload = new\n    {\n        prompt = prompt,\n        temperature = 0.7,\n        max_tokens = 200\n    };\n\n    using var client = new HttpClient();\n    client.DefaultRequestHeaders.Add(\"api-key\", openAiKey);\n    var response = await client.PostAsync(endpoint, new StringContent(JsonSerializer.Serialize(payload), Encoding.UTF8, \"application\/json\"));\n\n    var result = JsonDocument.Parse(await response.Content.ReadAsStringAsync());\n    return result.RootElement.GetProperty(\"choices\")[0].GetProperty(\"text\").GetString();\n}<\/code><\/pre>\n\n\n\n
    Integrate with Optimizely CMS<\/h2>\n\n\n\n
    You can create a controller like this:<\/p>\n\n\n\n
    public class QnAController : Controller\n{\n    [HttpPost]\n    public async Task<ActionResult> Ask(string question)\n    {\n        var docs = await SearchAzureContentAsync(question);\n        var answer = await AskOpenAiAsync(question, docs);\n        return Json(new { answer });\n    }\n}<\/code><\/pre>\n\n\n\n
    And on your view:<\/p>\n\n\n\n
    <form method=\"post\" id=\"qnaForm\">\n  <input type=\"text\" name=\"question\" placeholder=\"Ask a question...\" \/>\n  <button type=\"submit\">Ask<\/button>\n<\/form>\n<div id=\"answer\"><\/div>\n\n<script>\n  $('#qnaForm').submit(function(e) {\n    e.preventDefault();\n    const question = $('input[name=question]').val();\n    fetch('\/QnA\/Ask', {\n      method: 'POST',\n      headers: {'Content-Type': 'application\/json'},\n      body: JSON.stringify({ question })\n    })\n    .then(r => r.json())\n    .then(data => $('#answer').text(data.answer));\n  });\n<\/script><\/code><\/pre>\n\n\n\n
    Summary<\/h2>\n\n\n\n
    This wraps up the final puzzle piece: letting users speak freely with your Optimizely site, while AI interprets and responds in real-time. From content indexing to re-ranking to full-on Q&A, your CMS is now intelligent, conversational, and user-first.<\/p>\n\n\n\n
    Want to see this in action? Stay tuned for the sample repo and video walkthrough!<\/p>\n\n\n\n
    The first part of this series, Integrating Optimizely CMS with Azure AI Search \u2013 A Game-Changer for Site Search<\/a><\/p>\n\n\n\n
    <\/p>\n","protected":false},"excerpt":{"rendered":"
    In Part 2, we integrated Azure AI Search with Azure Personalizer to build a smarter, user-focused experience in Optimizely CMS. We used ServiceAPI to send…<\/p>\n","protected":false},"author":1,"featured_media":599,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[11,34,141,10,32],"class_list":["post-1328","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-episerver","tag-dot-net-core","tag-ai","tag-azure","tag-cms","tag-developer"],"yoast_head":"\nBuild AI Q&A in Optimizely with Azure AI Search + OpenAI - Naveed Ul-Haq's blog<\/title>\n<meta name=\"description\" content=\"Add natural language Q&A to your Optimizely CMS using Azure AI Search and OpenAI. 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