# RAG 用于执行者@:语义搜索行动

<datetime class="hidden">2025-11-25T09:00</datetime>

<!-- category -- ASP.NET, Semantic Search, Alpine.js, HTMX, Hybrid Search, RAG, AI-Article -->
# 一. 导言导言 导言 导言 导言

**📖+RAG系列的一部分** 这是 & 4% b @ MS K1} 搜索功能和 UIQ:

- [RAG 起源和基本要点](/blog/rag-primer) “-”什么嵌入是“,”,为什么它们重要?
- [RAG 建筑和内部](/blog/rag-architecture) @ -_ Chunking,}代号@,}矢量数据库
- [内容:3:](/blog/rag-practical-applications) 建立完整的RAG系统
- [“4a :ONNX”“& Qdrant 履行”](/blog/semantic-search-with-onnx-and-qdrant) - CPU-友好语义搜索基金会
- **操作中的语义搜索** ( @ this article @) @ @ MS K2_ typeahead @ MPK3}混合搜索@,和UI组件
- [@ 5:_ 混合搜索@ MS K1\ 自动 @ MASK2 @ Indexing](/blog/rag-hybrid-search-and-indexing) 生产一体化模式
- [6: 图表集](/blog/graphrag-knowledge-graphs-for-rag) - 用于 proposal_- 水平理解的知识图表

内 [第一部分:4_a](/blog/semantic-search-with-onnx-and-qdrant), @% 我们建立了基础@:ONNX嵌入和 Qdrant 矢量存储 @.}现在让我们来让'_s将其与 a一起工作吧 **实际搜索 UI** “-”包括头型自动完成“,” 混合搜索,结合语义@+ full @- text_,和高级过滤+.

本篇文章涵盖实际搜索经验用户在这个博客“.”上的交互作用。

[TOC]

# 机头搜索经验

此站点顶端的搜索框提供即时搜索@ - @ as @ MS K1_ you @ MPK2}% type 结果@ MOSK3 这里 @ I' 工作方式 @ OMK5}

```mermaid
sequenceDiagram
    participant U as User
    participant A as Alpine.js
    participant API as SearchApi
    participant H as HybridSearch
    participant S as Semantic Search
    participant P as PostgreSQL

    U->>A: Types "docker"
    A->>A: Debounce 300ms
    A->>API: GET /api/search/docker
    API->>H: HybridSearchAsync("docker")
    par Parallel Search
        H->>S: SearchAsync("docker", 20)
        H->>P: GetSearchResultForComplete("docker")
    end
    S-->>H: Semantic results (by meaning)
    P-->>H: Full-text results (by keywords)
    H->>H: Apply RRF scoring
    H-->>API: Combined results
    API-->>A: JSON results
    A->>U: Display dropdown
```

## AlpineMSMK0js typeahead 组件

搜索框使用 [阿尔卑斯山](https://alpinejs.dev/) 用于无重 JavaScript 框架的活性 UI+. @ Here'_%s

```javascript
export function typeahead() {
    return {
        query: '',
        results: [],
        highlightedIndex: -1, // Tracks keyboard navigation

        search() {
            // Minimum 2 characters to trigger search
            if (this.query.length < 2) {
                this.results = [];
                this.highlightedIndex = -1;
                return;
            }

            fetch(`/api/search/${encodeURIComponent(this.query)}`, {
                method: 'GET',
                headers: { 'Content-Type': 'application/json' }
            })
            .then(response => {
                if (response.ok) return response.json();
                return Promise.reject(response);
            })
            .then(data => {
                this.results = data;
                this.highlightedIndex = -1;
                // Process HTMX attributes in results
                this.$nextTick(() => {
                    htmx.process(document.getElementById('searchresults'));
                });
            })
            .catch((response) => {
                console.log("Error fetching search results");
            });
        },

        // Keyboard navigation
        moveDown() {
            if (this.highlightedIndex < this.results.length - 1) {
                this.highlightedIndex++;
            }
        },

        moveUp() {
            if (this.highlightedIndex > 0) {
                this.highlightedIndex--;
            }
        },

        selectHighlighted() {
            if (this.highlightedIndex >= 0 && this.highlightedIndex < this.results.length) {
                this.selectResult(this.highlightedIndex);
            }
        },

        selectResult(selectedIndex) {
            // Click the HTMX link to navigate
            let links = document.querySelectorAll('#searchresults a');
            links[selectedIndex].click();
            this.results = [];
            this.highlightedIndex = -1;
            this.query = '';
        }
    }
}
```

**密钥特性 @:**

1. **跳跃输入**@ : @ @ MPK1 @%s 延迟阻止了对服务器的敲锤
2. **最短长度*** :* 至少 {2} 需要字符
3. **键盘导航**@ :_ 箭头键@ MS K1_ 输入可访问性
4. **HTMX 整合**: 成果使用 HTMX 进行顺利导航

## 搜索框 HTML

```html
<div x-data="window.mostlylucid.typeahead()"
     class="relative"
     x-on:click.outside="results = []">

    <label class="input input-sm bg-white dark:bg-custom-dark-bg input-bordered flex items-center gap-2">
        <input
            type="text"
            x-model="query"
            x-on:input.debounce.300ms="search"
            x-on:keydown.down.prevent="moveDown"
            x-on:keydown.up.prevent="moveUp"
            x-on:keydown.enter.prevent="selectHighlighted"
            placeholder="Search..."
            class="border-0 grow input-sm text-black dark:text-white bg-transparent w-full"/>
        <i class="bx bx-search"></i>
    </label>

    <!-- Dropdown Results -->
    <ul x-show="results.length > 0"
        id="searchresults"
        class="absolute z-10 my-2 w-full bg-white dark:bg-custom-dark-bg border rounded-lg shadow-lg">
        <template x-for="(result, index) in results" :key="result.slug">
            <li :class="{'bg-blue-light dark:bg-blue-dark': index === highlightedIndex}"
                class="cursor-pointer text-sm p-2 m-2 hover:bg-blue-light dark:hover:bg-blue-dark">
                <a hx-boost="true"
                   hx-target="#contentcontainer"
                   hx-swap="innerHTML show:window:top"
                   :href="result.url"
                   x-text="result.title"></a>
            </li>
        </template>
    </ul>
</div>
```

**为什么 `x-on:click.outside`?** 在下拉调之外点击关闭自动完成的 . 标准 UX 模式

# 搜索API

缩略 `/api/search/{query}` 端点能量 typeahead@ . @ here @ MS K1} 控制器=:

```csharp
[ApiController]
[Route("api")]
public class SearchApi(
    BlogSearchService searchService,
    UmamiBackgroundSender umamiBackgroundSender,
    ISemanticSearchService semanticSearchService,
    SemanticSearchConfig semanticSearchConfig) : ControllerBase
{
    private const int RrfConstant = 60; // Reciprocal Rank Fusion constant

    [HttpGet]
    [Route("search/{query}")]
    [OutputCache(Duration = 3600, VaryByQueryKeys = new[] { "query" })]
    public async Task<Results<JsonHttpResult<List<SearchResults>>, BadRequest<string>>> Search(string query)
    {
        using var activity = Log.Logger.StartActivity("Search {query}", query);
        try
        {
            var host = Request.Host.Value;
            List<SearchResults> output;

            // Use hybrid search if semantic search is enabled
            if (semanticSearchConfig.Enabled)
            {
                output = await HybridSearchAsync(query, host);
            }
            else
            {
                // Fallback to full-text search only
                output = await FullTextSearchAsync(query, host);
            }

            // Track search event for analytics
            var encodedQuery = HttpUtility.UrlEncode(query);
            await umamiBackgroundSender.Track("searchEvent", new UmamiEventData { { "query", encodedQuery } });

            return TypedResults.Json(output);
        }
        catch (Exception e)
        {
            Log.Error(e, "Error in search");
            return TypedResults.BadRequest("Error in search");
        }
    }
}
```

**重要设计决定**

1. **特征标志**: `semanticSearchConfig.Enabled` 使您能够切换语义搜索
2. **输出缓存**@ : @ @ MPK1_ hour 缓存减少用于常见查询的服务器载荷
3. **分析跟踪**@: 每一次搜索都被追踪\ (}#Helps理解用户的行为 *)*
4. **优减退化**如果语义搜索失败, :瀑布返回 PostgreSQL

# 与对等相互搜索混合

真正的魔法是 **混合混合搜索** “-”结合语义和全文“-”文本结果“MS K2 ”我们用对等阵列混编“(”RRF) 来将它们完全合为一体,

## 为何混合搜索@? @%

不同的搜索方法有不同强项@: @%

|+搜索类型 @|+强点 @MS K2+弱点@|}
|------------|-----------|------------|
| **语义** “|”和“Synonoms” 等同语意指“,”概念:“|”可能错过了准确的短语“MS K4”
| **完整- @ text** “|” 确切关键词@,}技术术语 @|}没有同义词理解 *|*

**实例::** 正在搜索 @ " @ action

- 语义发现@: @ @ @ "_ Docker 教程 @ MPK2} @ I"# Kubernetes 指南" @ @ *(# 相关概念 @)#
- 完整-text finds @: 包含确切的@"}#container appredition *\ "
- 混合法获得最佳的两种“!”

## RRF 算法

```mermaid
flowchart TB
    subgraph Semantic[Semantic Results]
        S1[Docker Containers - 0.92]
        S2[Kubernetes Basics - 0.87]
        S3[Container Security - 0.81]
    end

    subgraph FullText[Full-Text Results]
        F1[Container Security - rank 1]
        F2[Docker Containers - rank 2]
        F3[CI/CD Pipelines - rank 3]
    end

    subgraph RRF[RRF Scores]
        R1[Container Security = 0.0327]
        R2[Docker Containers = 0.0325]
        R3[Kubernetes Basics = 0.0161]
        R4[CI/CD Pipelines = 0.0159]
    end

    subgraph Final[Final Ranking]
        O1[Container Security]
        O2[Docker Containers]
        O3[Kubernetes Basics]
        O4[CI/CD Pipelines]
    end

    S1 --> R2
    S2 --> R3
    S3 --> R1
    F1 --> R1
    F2 --> R2
    F3 --> R4
    R1 --> O1
    R2 --> O2
    R3 --> O3
    R4 --> O4
```

**公式=:** `score = Σ(1 / (k + rank))`

在哪里:

- `k = 60` @(_convention 防止早期军衔 占据统治地位#)}
- `rank` 此搜索方法中的 =Q 位置 @ MS K1QS 结果@ (1-\ indexed)}

**RRF为什么工作?**

- 产生的结果 **两者兼** 来源得分高
- 任何单一来源都无法主宰
- 不需要复杂的调音

## 执行 执行情况

```csharp
private async Task<List<SearchResults>> HybridSearchAsync(string query, string host)
{
    // Run both searches in parallel
    var fullTextTask = GetFullTextResultsAsync(query);
    var semanticTask = semanticSearchService.SearchAsync(query, limit: 20);

    await Task.WhenAll(fullTextTask, semanticTask);

    var fullTextResults = await fullTextTask;
    var semanticResults = await semanticTask;

    // Apply Reciprocal Rank Fusion to combine results
    var rrfScores = new Dictionary<string, (double Score, string Title, string Slug)>();

    // Score full-text results
    for (int i = 0; i < fullTextResults.Count; i++)
    {
        var (title, slug) = fullTextResults[i];
        var key = slug.ToLowerInvariant();
        var rrfScore = 1.0 / (RrfConstant + i + 1);

        if (rrfScores.TryGetValue(key, out var existing))
        {
            rrfScores[key] = (existing.Score + rrfScore, title, slug);
        }
        else
        {
            rrfScores[key] = (rrfScore, title, slug);
        }
    }

    // Score semantic results
    for (int i = 0; i < semanticResults.Count; i++)
    {
        var result = semanticResults[i];
        var key = result.Slug.ToLowerInvariant();
        var rrfScore = 1.0 / (RrfConstant + i + 1);

        if (rrfScores.TryGetValue(key, out var existing))
        {
            rrfScores[key] = (existing.Score + rrfScore, existing.Title, existing.Slug);
        }
        else
        {
            rrfScores[key] = (rrfScore, result.Title, result.Slug);
        }
    }

    // Sort by combined RRF score and return top results
    return rrfScores.Values
        .OrderByDescending(x => x.Score)
        .Take(15)
        .Select(x => new SearchResults(
            x.Title.Trim(),
            x.Slug,
            Url.ActionLink("Show", "Blog", new { x.Slug }, "https", host)))
        .ToList();
}
```

**关键执行细节@: @%**

1. **平行执行**“: ” 两个搜索同时运行“( ”`Task.WhenAll`)
2. **Case -不敏感的 Dedup**:螺丝与 `ToLowerInvariant()`
3. **累计积分**@:在两个来源的相同文章都会加分
4. **最顶端 @ 15 @ 收效**@:#足够打字机@,#没有压倒性

# 全-\Text 搜索后退

当语义搜索被禁用或失败@ , @ we fall back to PostgreSQL full-}( text search)\ MS K2}时, 我们返回到PostgresSQ L full@ msk1}

## 查询处理

完整的“-”文本搜索处理两个不同的案例@:

```csharp
private async Task<List<(string Title, string Slug)>> GetFullTextResultsAsync(string query)
{
    if (!query.Contains(' '))
        return await searchService.GetSearchResultForComplete(query);  // Wildcard
    else
        return await searchService.GetSearchResultForQuery(query);     // Web search
}
```

**单词** ("docker"):使用通配符前缀搜索 `docker:*`
**多个单词** ("docker 容器@"):}使用 PostgreSQL @'}网络搜索语法

## PostgresSQL 查询

```csharp
// Single word with wildcard
private IQueryable<BlogPostEntity> QueryForWildCard(string query)
{
    return context.BlogPosts
        .Include(x => x.Categories)
        .Include(x => x.LanguageEntity)
        .AsNoTracking()
        .Where(x =>
            !x.IsHidden
            && (x.ScheduledPublishDate == null || x.ScheduledPublishDate <= now)
            && (x.SearchVector.Matches(EF.Functions.ToTsQuery("english", query + ":*"))
                || x.Categories.Any(c =>
                    EF.Functions.ToTsVector("english", c.Name)
                        .Matches(EF.Functions.ToTsQuery("english", query + ":*"))))
            && x.LanguageEntity.Name == "en")
        .OrderByDescending(x =>
            x.SearchVector.Rank(EF.Functions.ToTsQuery("english", query + ":*")));
}

// Multiple words with web search
private IQueryable<BlogPostEntity> QueryForSpaces(string processedQuery)
{
    return context.BlogPosts
        .Where(x =>
            x.SearchVector.Matches(EF.Functions.WebSearchToTsQuery("english", processedQuery))
            || x.Categories.Any(c =>
                EF.Functions.ToTsVector("english", c.Name)
                    .Matches(EF.Functions.WebSearchToTsQuery("english", processedQuery))))
        .OrderByDescending(x =>
            x.SearchVector.Rank(EF.Functions.WebSearchToTsQuery("english", processedQuery)));
}
```

**为什么 `WebSearchToTsQuery`?** 它处理像谷歌那样的自然语言问询

- `"docker containers"` → 搜索两个单词
- `docker OR kubernetes` -=YTET -伊甸园字幕组=- 翻译:
- `docker -compose` →不包括 @"}compose"

在 PostgreSQL 全@- @ text search_ ,\ 查看 [用 Postgres 搜索完整文本](/blog/textsearchingpt1).

# 完整搜索页面

在编程头@ , @ there'{} 之后, 一个带有高级过滤器的完整搜索结果页面 @ MS K2}}

```mermaid
flowchart LR
    subgraph SearchPage[Search Page]
        A[Query Input] --> B{Filters}
        B --> C[Language Filter]
        B --> D[Date Range Filter]
        C --> E[Search Results]
        D --> E
        E --> F[Paginated List]
    end

    style A stroke:#10b981,stroke-width:2px
    style B stroke:#6366f1,stroke-width:2px
    style E stroke:#ec4899,stroke-width:2px
    style F stroke:#8b5cf6,stroke-width:2px
```

## 搜索主计长

```csharp
[Route("search")]
public class SearchController(
    BaseControllerService baseControllerService,
    BlogSearchService searchService,
    ISemanticSearchService semanticSearchService,
    ILogger<SearchController> logger)
    : BaseController(baseControllerService, logger)
{
    [HttpGet]
    [Route("")]
    [OutputCache(Duration = 3600, VaryByQueryKeys = new[] { "query", "page", "pageSize", "language", "dateRange", "startDate", "endDate" })]
    public async Task<IActionResult> Search(
        string? query,
        int page = 1,
        int pageSize = 10,
        string? language = null,
        DateRangeOption dateRange = DateRangeOption.AllTime,
        DateTime? startDate = null,
        DateTime? endDate = null,
        [FromHeader] bool pagerequest = false)
    {
        // Calculate date range based on option
        var (calculatedStartDate, calculatedEndDate) = CalculateDateRange(dateRange, startDate, endDate);

        // Get available languages for the filter dropdown
        var availableLanguages = await searchService.GetAvailableLanguagesAsync();

        if (string.IsNullOrEmpty(query?.Trim()))
        {
            var emptyModel = new SearchResultsModel { /* ... */ };
            if (Request.IsHtmx()) return PartialView("SearchResults", emptyModel);
            return View("SearchResults", emptyModel);
        }

        var searchResults = await searchService.HybridSearchWithPagingAsync(
            query,
            language,
            calculatedStartDate,
            calculatedEndDate,
            page,
            pageSize);

        // Build response model...
        if (pagerequest && Request.IsHtmx())
            return PartialView("_SearchResultsPartial", searchModel.SearchResults);
        if (Request.IsHtmx())
            return PartialView("SearchResults", searchModel);
        return View("SearchResults", searchModel);
    }
}
```

## 日期范围选项

```csharp
public enum DateRangeOption
{
    AllTime,
    LastWeek,
    LastMonth,
    LastYear,
    Custom
}

private static (DateTime? StartDate, DateTime? EndDate) CalculateDateRange(
    DateRangeOption dateRange, DateTime? startDate, DateTime? endDate)
{
    var now = DateTime.UtcNow;
    return dateRange switch
    {
        DateRangeOption.LastWeek => (now.AddDays(-7), now),
        DateRangeOption.LastMonth => (now.AddMonths(-1), now),
        DateRangeOption.LastYear => (now.AddYears(-1), now),
        DateRangeOption.Custom => (startDate, endDate),
        _ => (null, null) // AllTime - no date filter
    };
}
```

# 相关员额,含懒惰加载

每个博客文章都显示在折叠面板中的语义相似的文章@.}这使用 HTMX 来懒惰地装载 @:

```html
<!-- In blog post view -->
<div class="print:hidden"
     hx-get="/search/related/@Model.Slug/@Model.Language"
     hx-trigger="load delay:500ms"
     hx-swap="innerHTML">
    <!-- Loading placeholder -->
    <div class="mt-8 mb-8 text-center opacity-50">
        <span class="loading loading-spinner loading-md"></span>
        <p class="text-sm mt-2">Finding related posts...</p>
    </div>
</div>
```

**为何拖延@500 @ms @?#** 用户立刻看到内容@. @%

## 相关员额

```csharp
[HttpGet]
[Route("related/{slug}/{language}")]
[OutputCache(Duration = 7200, VaryByRouteValueNames = new[] {"slug", "language"})]
public async Task<IActionResult> RelatedPosts(string slug, string language, int limit = 5)
{
    var results = await semanticSearchService.GetRelatedPostsAsync(slug, language, limit);

    if (Request.IsHtmx())
    {
        return PartialView("_RelatedPosts", results);
    }

    return Json(results);
}
```

**@2-_hour 缓存**@:#相关文章@'_t change 常变吗?

## 相关员额构成部分

DaisiUI 的崩溃部件, 有辐射进展显示相似得分@: @%

```html
@model List<SearchResult>

@if (Model != null && Model.Any())
{
    <div class="mt-8 mb-8">
        <div class="collapse collapse-arrow bg-base-200">
            <input type="checkbox" class="peer" />
            <div class="collapse-title text-xl font-medium">
                <i class='bx bx-brain text-2xl mr-2'></i>
                Related Posts
                <span class="badge badge-secondary badge-sm ml-2">@Model.Count</span>
            </div>
            <div class="collapse-content">
                <div class="divider mt-0"></div>
                <div class="space-y-2">
                    @foreach (var post in Model)
                    {
                        <div class="card bg-base-100 shadow-sm hover:shadow-md transition-shadow">
                            <div class="card-body p-4">
                                <div class="flex items-start justify-between">
                                    <div class="flex-1">
                                        <a hx-boost="true"
                                           hx-target="#contentcontainer"
                                           asp-action="Show"
                                           asp-controller="Blog"
                                           asp-route-slug="@post.Slug"
                                           asp-route-language="@post.Language"
                                           class="card-title text-base hover:text-secondary">
                                            @post.Title
                                        </a>

                                        @if (post.Categories?.Any() == true)
                                        {
                                            <div class="flex flex-wrap gap-1 mt-2">
                                                @foreach (var category in post.Categories.Take(3))
                                                {
                                                    <span class="badge badge-outline badge-sm">@category</span>
                                                }
                                            </div>
                                        }

                                        <div class="flex items-center gap-3 mt-2 text-sm opacity-70">
                                            <span>
                                                <i class='bx bx-calendar'></i>
                                                @post.PublishedDate.ToString("MMM dd, yyyy")
                                            </span>
                                            <span>
                                                <i class='bx bx-planet'></i>
                                                @post.Language.ToUpper()
                                            </span>
                                        </div>
                                    </div>

                                    <!-- Similarity Score -->
                                    <div class="flex flex-col items-end ml-4">
                                        <div class="radial-progress text-primary text-xs"
                                             style="--value:@(post.Score * 100); --size:3rem; --thickness:3px;"
                                             role="progressbar">
                                            @((post.Score * 100).ToString("F0"))%
                                        </div>
                                        <span class="text-xs opacity-60 mt-1">similarity</span>
                                    </div>
                                </div>
                            </div>
                        </div>
                    }
                </div>
            </div>
        </div>
    </div>
}
```

**光线进步** 帮助使用者了解每个职位的关联程度@. @%

# API 参考

## 类型标题搜索

```
GET /api/search/{query}
```

|參數|類型|描述MS K3
|-----------|------|-------------|
| `query` |字符串 @(path) |搜索术语 @(min @MS K5字元}) @#|

**回应::** `List<SearchResults>`

```json
[
  {
    "title": "Docker Containers Explained",
    "slug": "docker-containers",
    "url": "https://example.com/blog/docker-containers"
  }
]
```

**卡辛:** @ 1_ hour@ MS K1} 依查询的不同而不同

## 语义搜索

```
GET /search/semantic?query={query}&limit={limit}
```

|參數|類型| 默认MS K3 描述□|
|-----------|------|---------|-------------|
| `query` |}字符串 @|}需要@|_搜索名 *{|}
| `limit` @| @ int@ |} @ MS K2 @ @ *|# 最大结果 @ MPK4 @

**回应::** `List<SearchResult>` 类似得分

## 相关员额

```
GET /search/related/{slug}/{language}?limit={limit}
```

|參數|類型| 默认MS K3 描述□|
|-----------|------|---------|-------------|
| `slug` @|@ string {|} 需要|_Blog post splash {| 博客贴文: @MS K3}
| `language` |#字符串 @|}需要語言代碼@(_en{,}(是,}等)
| `limit` @|}#MSK4* 相关文章

**回应::** `List<SearchResult>` 按相似性分类

**卡辛:** @2@ hours ,}按弹孔和语言的不同而不同

## 带过滤器的完整搜索

```
GET /search?query={query}&page={page}&pageSize={pageSize}&language={language}&dateRange={dateRange}&startDate={startDate}&endDate={endDate}
```

|參數|類型| 默认MS K3 描述□|
|-----------|------|---------|-------------|
| `query` |}字符串 @|}需要@|_搜索名 *{|}
| `page` @| @ int@|} @ 1 @ @ @ I|_ page number#| @
| `pageSize` @| @ int {|10_ |}(每页结果)♫#|}
| `language` |字符串 @| null #|}用語言寫成的过滤器@|
| `dateRange` 最后一年, 自定义 *|*
| `startDate` @|_Datetime@|_Nele |_BARBAR_开始日期#(}和约会时间Range{=_Custom})}|}
| `endDate` @| 日期@| 无效 @MS K2 结束日期 @( 和约会时间Range{=}_Custom}) |

# 绩效提示

## 缓结战略

```csharp
// Typeahead - 1 hour (queries are repeated often)
[OutputCache(Duration = 3600, VaryByQueryKeys = new[] { "query" })]

// Related posts - 2 hours (rarely change)
[OutputCache(Duration = 7200, VaryByRouteValueNames = new[] {"slug", "language"})]

// Full search - 1 hour (many filter combinations)
[OutputCache(Duration = 3600, VaryByQueryKeys = new[] { "query", "page", "pageSize", "language", "dateRange", "startDate", "endDate" })]
```

## 击败

总是去掉用户输入,以防止API调用过多@: @%

```html
x-on:input.debounce.300ms="search"
```

@300_%s 是一个很好的平衡 -} 足够快,足以感觉到反应迅速 *,* 慢到可以减少服务器负载@. *

## 懒惰装入

使用 HTMX @ ' @%s `load delay:` 触发非@- @ 关键内容 @ :+%

```html
hx-trigger="load delay:500ms"
```

这确保了主要内容在二级内容负荷前能够明显可见@.

# 下一步是什么?

本条涵盖: **搜索经验** 用户如何与语义搜索互动@. @ for **生产量部署** 包括自动索引和背景服务@,}继续到 @:

**[@ 5:_ 混合搜索@ MS K1\ 自动 @ MASK2 @ Indexing](/blog/rag-hybrid-search-and-indexing)** 生产一体化模式

- 实时文件系统监视器@ - @ 时间索引
- 启动指数化的背景服务
- 用于增量更新的内容散列检测

# 资源资源资源 资源和资源资源资源

## 相关条款

- [“4a :ONNX”“& Qdrant 履行”](/blog/semantic-search-with-onnx-and-qdrant) 本文以
- [使用 PostgreSQL 全文本搜索](/blog/textsearchingpt1) - PostgreSQL 全@-}文本搜索设置
- [完整文本搜索@ - @ typeahead](/blog/textsearchingpt11) 原版实施

## 使用的技术

- [阿尔卑斯山](https://alpinejs.dev/) -轻量级活性 JavaScript
- [HTMX](https://htmx.org/) -+HTML在线上
- [DisayUI 调音界面](https://daisyui.com/) - 尾风CSS 组件库
- [相互排名融合](https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf) RRF算法文件

## 完整代码

所有代码都可用于 @: @% [多数为平质网,](https://github.com/scottgal/mostlylucidweb)

- `Mostlylucid/API/SearchApi.cs` “-” 型号API
- `Mostlylucid/Controllers/SearchController.cs` - 完整搜索页面
- `Mostlylucid.Services/Blog/BlogSearchService.cs` 混合搜索逻辑
- `Mostlylucid/src/js/typeahead.js` -Alpine.js 组件