Diff Insight Report - search

最終更新日: 2025-09-11

利用上の注意

このポストは Microsoft 社の Azure 公式ドキュメント(CC BY 4.0 または MIT ライセンス) をもとに生成AIを用いて翻案・要約した派生作品です。 元の文書は MicrosoftDocs/azure-ai-docs にホストされています。

生成AIの性能には限界があり、誤訳や誤解釈が含まれる可能性があります。 本ポストはあくまで参考情報として用い、正確な情報は必ず元の文書を参照してください。

このポストで使用されている商標はそれぞれの所有者に帰属します。これらの商標は技術的な説明のために使用されており、商標権者からの公式な承認や推奨を示すものではありません。

View Diff on GitHub


# Highlights
今回の変更には、新しい画像ファイルとSVGファイルの追加、既存の画像ファイルの削除、そして「ベクトル検索フィルター」ドキュメントの更新が含まれています。一部の画像の削除はブレイキングチェンジとして扱われる可能性がありますが、新しいファイルの追加はドキュメントの視覚的な理解を補強することを目指しています。

New features

  • 新しい画像ファイル vector-filter-modes-postfilter.png, vector-filter-modes-prefilter.png, vector-filter-modes-strictpostfilter.png の追加。
  • 新しいSVGファイル vector-filter-modes-postfilter.svg, vector-filter-modes-prefilter.svg, vector-filter-modes-strictpostfilter.svg の追加。

Breaking changes

  • 画像ファイル post-filter.svg と pre-filter.svg の削除。この削除は重要な機能やドキュメントに対する依存がある場合、ユーザーエクスペリエンスに影響を与える可能性があります。

Other updates

  • 画像ファイル post-filter.png と pre-filter.png のリポジトリからの削除。
  • ドキュメント vector-search-filters.md の更新。72行の追加と36行の削除により、フィルタリングメカニズムなどの詳細情報が充実されました。

Insights

この変更の主な目的は、Azure AI Searchにおけるベクトル検索の機能を強化し、ユーザーに対してより明確で役立つ情報を提供することです。

まず、画像およびSVGファイルの追加により、ベクトル検索フィルターのモードや処理手順をユーザーが直感的に理解できるようにされました。これにより、ユーザーの理解を深め、その情報に基づいて適切な設定を選択できるようになります。SVGファイルの特性を活用することで、スケーラブルな視覚的情報を提供し、様々な解像度でも高品質な表示が可能になると予想されます。

次に、既存の一部画像ファイルの削除、特にSVGファイルの削除は、ドキュメントやUIコンポーネントがこれらに依存している場合、ブレイキングチェンジとなるリスクがあります。このため、削除の影響を事前に評価し、必要に応じて代替手段を検討する必要があります。

さらに、「ベクトル検索フィルター」に関する詳細な説明が追加され、新たなフィルタリングオプションとその影響についても解説されています。特に、近似最近傍検索におけるHNSWアルゴリズムの導入により、フィルタリングに関する選択肢が明確に提示され、それに伴うパフォーマンスの違いがユーザーに理解されやすくなります。

これらの変更は、ベクトル検索の運用における透明性とユーザー体験の向上を強化するものであり、Azure AIの機能を最大限に活用できるようになっています。

Summary Table

Filename Type Title Status A D M
post-filter.png minor update 画像ファイルの削除 removed 0 0 0
post-filter.svg breaking change SVGファイルの削除 removed 0 1 1
pre-filter.png minor update 画像ファイルの削除 removed 0 0 0
pre-filter.svg breaking change SVGファイルの削除 removed 0 1 1
vector-filter-modes-postfilter.png new feature 新しい画像ファイルの追加 added 0 0 0
vector-filter-modes-postfilter.svg new feature 新しいSVGファイルの追加 added 5 0 5
vector-filter-modes-prefilter.png new feature 新しい画像ファイルの追加 added 0 0 0
vector-filter-modes-prefilter.svg new feature 新しいSVGファイルの追加 added 5 0 5
vector-filter-modes-strictpostfilter.png new feature 新しい画像ファイルの追加 added 0 0 0
vector-filter-modes-strictpostfilter.svg new feature 新しいSVGファイルの追加 added 5 0 5
vector-search-filters.md minor update ベクトル検索フィルターに関するドキュメントの更新 modified 72 36 108

Modified Contents

articles/search/media/vector-search-filters/post-filter.png

Summary

{
    "modification_type": "minor update",
    "modification_title": "画像ファイルの削除"
}

Explanation

この変更では、post-filter.pngという名称の画像ファイルがリポジトリから削除されました。この変更により、関連する文書や機能に影響が出る可能性がありますが、削除自体は大きな問題を引き起こさないと考えられます。ファイルに対する追加や削除は行われておらず、単にファイルが取り除かれた形です。ファイルは以前は、Azure AI Docsの検索メディアの一部として存在していましたが、何らかの理由でこのリソースが不要と判断されたものと推測されます。

articles/search/media/vector-search-filters/post-filter.svg

Diff 
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preserveAspectRatio="none" id="img2"></image><clipPath id="clip3"><rect x="0" y="0" width="5551964" height="2447943"/></clipPath></defs><g clip-path="url(#clip0)"><g clip-path="url(#clip1)" transform="scale(0.000209972 0.000209972)"><g clip-path="url(#clip3)" transform="scale(1.00107 1)"><use width="100%" height="100%" xlink:href="#img2" transform="scale(7054.59 7054.59)"></use></g></g></g></svg>
\ No newline at end of file

Summary

{
    "modification_type": "breaking change",
    "modification_title": "SVGファイルの削除"
}

Explanation

この変更では、post-filter.svgというSVG形式の画像ファイルがリポジトリから削除されました。このファイルは、関連するドキュメントや機能で使用されている可能性があるため、その削除は重大な影響を及ぼす可能性があります。SVGファイルが削除されることにより、特に画像に依存しているコンポーネントや機能が動作しなくなることが考えられます。したがって、この変更は「ブレイキングチェンジ」として分類されます。ファイルの削除前に、その影響を検討し、必要に応じて代替手段を用意することが重要です。

articles/search/media/vector-search-filters/pre-filter.png

Summary

{
    "modification_type": "minor update",
    "modification_title": "画像ファイルの削除"
}

Explanation

この変更では、pre-filter.pngという名前の画像ファイルがリポジトリから削除されました。このファイルの削除は、関連するドキュメントや機能に影響を与える可能性がありますが、具体的な影響の程度は文脈に依存します。削除自体は追加や変更を伴わず、単にファイルがなくなった状態です。この変更は、プロジェクト内でのリソースの整理または更新の一部であると考えられます。ファイルが削除された理由や、そのファイルに依存していたコンポーネントへの対応については、今後の文書や改修が必要です。

articles/search/media/vector-search-filters/pre-filter.svg

Diff 
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preserveAspectRatio="none" id="img1"></image><clipPath id="clip2"><rect x="0" y="0" width="5776955" height="2833001"/></clipPath></defs><g clip-path="url(#clip0)"><g transform="scale(0.000209972 0.000209972)"><g clip-path="url(#clip2)" transform="scale(1 1.00025)"><use width="100%" height="100%" xlink:href="#img1" transform="scale(7396.87 7396.87)"></use></g></g></g></svg>
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Summary

{
    "modification_type": "breaking change",
    "modification_title": "SVGファイルの削除"
}

Explanation

この変更では、pre-filter.svgというSVG形式の画像ファイルがリポジトリから削除されました。このファイルは、ドキュメント内で用いられていた可能性があるため、その削除は関連するコンポーネントや機能に影響を与えることがあります。特に、削除されたSVGファイルが既存の機能やUIに依存している場合、ユーザー体験に大きな影響を及ぼす可能性があるため、注意が必要です。このため、ファイルの削除は「ブレイキングチェンジ」として扱われます。削除された理由や、その影響を考慮し、必要に応じて代替措置を講じることが重要です。

articles/search/media/vector-search-filters/vector-filter-modes-postfilter.png

Summary

{
    "modification_type": "new feature",
    "modification_title": "新しい画像ファイルの追加"
}

Explanation

この変更では、vector-filter-modes-postfilter.pngという新しい画像ファイルがリポジトリに追加されました。この画像は、ベクトル検索フィルターのモードに関連するものであり、ドキュメントや関連する機能に視覚的な情報を提供することを目的としています。新しいファイルの追加は、ユーザーにとっての理解を助け、使用体験を向上させるための重要な措置です。この機能は、ドキュメントの内容を補完し、より効率的な情報伝達を可能にします。今後は、この新しい画像を使用して、関連するコンテンツでの視覚的な説明を強化することが期待されます。

articles/search/media/vector-search-filters/vector-filter-modes-postfilter.svg

Diff 
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fill="none"></path></g></g><mask></mask><g transform="translate(254.7742680140907 188.7261904761907) rotate(0 129.65989685058594 25)"><text x="129.65989685058594" y="17.619999999999997" font-family="Excalifont, Xiaolai, sans-serif, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">post-filter: </text><text x="129.65989685058594" y="42.62" font-family="Excalifont, Xiaolai, sans-serif, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="middle" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">find k=3 nearest neighbors</text></g><g transform="translate(10 505.6904761904764) rotate(0 144.7399139404297 12.5)"><text x="0" y="17.619999999999997" font-family="Excalifont, Xiaolai, sans-serif, Segoe UI Emoji" font-size="20px" fill="#1e1e1e" text-anchor="start" style="white-space: pre;" direction="ltr" dominant-baseline="alphabetic">** darker color = higher score</text></g><g stroke-linecap="round" transform="translate(594.5595238095243 77.17857142857156) rotate(0 13 10)"><path d="M12.5 -0.06 C15.09 -0.29, 18.94 0.95, 21.21 2.22 C23.47 3.49, 25.52 5.54, 26.09 7.58 C26.66 9.62, 25.99 12.57, 24.64 14.47 C23.28 16.36, 20.6 18.04, 17.94 18.96 C15.27 19.88, 11.34 20.63, 8.65 19.98 C5.96 19.32, 3.23 16.85, 1.81 15.03 C0.38 13.21, -0.36 11.18, 0.11 9.04 C0.59 6.89, 2.47 3.65, 4.68 2.15 C6.89 0.64, 11.83 0.31, 13.37 0.02 C14.9 -0.27, 14.02 0.27, 13.91 0.4 M14.46 0.15 C17.24 0.13, 20.48 0.8, 22.28 2.36 C24.08 3.93, 24.99 7.37, 25.26 9.54 C25.54 11.72, 25.33 13.68, 23.94 15.41 C22.55 17.13, 19.65 19.29, 16.91 19.89 C14.17 20.49, 10.01 19.8, 7.49 18.98 C4.97 18.16, 2.97 16.85, 1.78 14.98 C0.58 13.11, -0.27 9.98, 0.32 7.76 C0.92 5.53, 3.04 2.97, 5.35 1.62 C7.66 0.28, 12.86 -0.11, 14.18 -0.31 C15.5 -0.5, 13.24 0.22, 13.27 0.46" stroke="none" stroke-width="0" fill="#1b5c27"></path><path d="M14.25 -0.29 C16.81 -0.15, 20.37 1.68, 22.27 3.26 C24.17 4.85, 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\ No newline at end of file

Summary

{
    "modification_type": "new feature",
    "modification_title": "新しいSVGファイルの追加"
}

Explanation

この変更では、vector-filter-modes-postfilter.svgという新しいSVGファイルがリポジトリに追加されました。このSVGファイルは、ベクトル検索フィルターの後処理に関する視覚的な情報を提供するために使用される可能性があります。SVG形式は、スケーラブルなベクターグラフィックスであるため、様々な解像度で表示しても品質が保たれます。新たに追加されたこのファイルは、ドキュメントやインターフェースにおいて、関連するコンセプトや操作を直感的に理解させるための重要な要素となります。この機能追加により、ユーザー体験が向上することが期待されます。

articles/search/media/vector-search-filters/vector-filter-modes-prefilter.png

Summary

{
    "modification_type": "new feature",
    "modification_title": "新しい画像ファイルの追加"
}

Explanation

この変更では、vector-filter-modes-prefilter.pngという新しい画像ファイルがリポジトリに追加されました。この画像は、ベクトル検索フィルターの前処理に関連するものであり、ユーザーがフィルタリングのプロセスを視覚的に理解する助けとなります。新たに追加されたこのファイルは、ドキュメントやマニュアルにおいて、前処理のステップを明示化するためのビジュアル要素として機能します。これにより、ユーザーがシステムの動作をよりよく理解できるようになることが期待され、全体的なユーザーエクスペリエンスの向上に寄与します。この画像は、適切なコンテキストで関連情報を提供し、使用者にとっての有用性を高めるための重要な資源となります。

articles/search/media/vector-search-filters/vector-filter-modes-prefilter.svg

Diff 
@@ -0,0 +1,5 @@
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\ No newline at end of file

Summary

{
    "modification_type": "new feature",
    "modification_title": "新しいSVGファイルの追加"
}

Explanation

この変更では、vector-filter-modes-prefilter.svgという新しいSVGファイルがリポジトリに追加されました。このSVGファイルは、ベクトル検索フィルターの前処理に関する視覚的情報を提供し、ユーザーがフィルタリングプロセスの理解を深めるためのものです。SVG形式はベクター画像であり、拡大縮小しても品質が失われないため、様々な画面サイズや解像度で利用可能です。この新しいファイルは、適切な文脈で使用されることで、関連する情報をより分かりやすく伝える役割を果たすことが期待されており、ユーザー体験の向上に寄与することでしょう。

articles/search/media/vector-search-filters/vector-filter-modes-strictpostfilter.png

Summary

{
    "modification_type": "new feature",
    "modification_title": "新しい画像ファイルの追加"
}

Explanation

この変更では、vector-filter-modes-strictpostfilter.pngという新しい画像ファイルがリポジトリに追加されました。この画像は、ベクトル検索フィルターの厳格な後処理に関するもので、ユーザーがフィルタリングの異なるモードを視覚的に理解するのに役立ちます。この新たに追加されたファイルは、関連する文書やガイドにおいて、プロセスの理解を助け、効果的な検索結果を最適化するための重要な情報源となります。使いやすさと知識の提供のために、この画像が活用されることが期待されます。

articles/search/media/vector-search-filters/vector-filter-modes-strictpostfilter.svg

Diff 
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\ No newline at end of file

Summary

{
    "modification_type": "new feature",
    "modification_title": "新しいSVGファイルの追加"
}

Explanation

この変更では、vector-filter-modes-strictpostfilter.svgという新しいSVGファイルがリポジトリに追加されました。この画像は、ベクトル検索フィルターの厳格な後処理に関する視覚的なガイドを提供します。SVGフォーマットは、解像度に依存せず、高品質なグラフィックを提供するため、ユーザーは異なるデバイスでこの画像を利用することができます。新たに追加された画像は、フィルタリングプロセスにおける「k=3」の最近傍探索の理解を深めるために役立ち、ユーザーがより良い意思決定を行えるようにすることを目的としています。この変更は、検索機能やフィルタリング機能のドキュメントに重要なビジュアル情報を追加し、全体的なユーザー体験を向上させることに寄与します。

articles/search/vector-search-filters.md

Diff 
@@ -31,84 +31,120 @@ You can also use [Search Explorer](search-get-started-portal-import-vectors.md#c
 
 ## How filtering works in vector queries
 
-Filters apply to `filterable` *nonvector* fields, either string or numeric, to include or exclude search documents based on filter criteria. Although vector fields aren't filterable, you can use filters on nonvector fields in the same index to include or exclude documents that contain vector fields you're searching on.
+When performing Approximate Nearest Neighbor (ANN) search using **Hierarchical Navigable Small World (HNSW)** algorithm, Azure AI Search stores HNSW graphs across multiple shards. Each shard contains a portion of the entire index. The different filtering options control where filter operations are applied within the stages of search, which will affect how the results are filtered down to a subset of items (e.g., by category, tag, or other attributes) and impact latency, recall, and throughput.
+
+Filters apply to `filterable` *nonvector* fields, either string or numeric, to include or exclude search documents based on filter criteria. Although vector fields themselves aren't filterable, you can use filters on nonvector fields in the same index to include or exclude documents that contain vector fields you're searching on.
 
 If your index lacks suitable text or numeric fields, check for document metadata that might be useful in filtering, such as `LastModified` or `CreatedBy` properties.
 
 The `vectorFilterMode` parameter controls when the filter is applied in the vector search process, with `k` setting the maximum number of nearest neighbors to return. Depending on the filter mode and how selective your filter is, fewer than `k` results might be returned.
 
+Azure AI Search supports three types of filtering during vector search: `preFilter` (default), `postFilter`, and `strictPostFilter`. 
+
+> [!NOTE]
+> On older indexes created before approximately October 15, 2023, `preFilter` is not available. For these indexes, `postFilter` will be the default. In order to use `preFilter` and other advanced vector features, such as vector compression, you will need to recreate your index. You can test compatibility by sending a vector query with `vectorFilterMode: preFilter` on API version later than `2023-10-01-preview` and observe whether it fails.
+
+In summary, the three approaches are described below:
+* **Pre-filter:** apply the predicate *during* HNSW traversal on each shard. Highest recall for filtered queries, but may traverse more of the graph (higher CPU/latency) when the filter has high selectivity.
+* **Post-filter:** run the HNSW traversal and the filtering independently on each shard, then intersect results at shard level, and aggregate top-k from each shard into a global top-k. For higher selectivity filters or small `k`, this can create false negatives.
+* **Strict post-filter:** run HNSW traversal to find the unfiltered global top-k, then apply the filter. Highest chance of returning false negatives when `k` is small or the filter has high selectivity.
+
+For both *post-filtering* options, instead of controlling the number of results only using `k`, it is recommended to control it using `top` and increase `k`, because this reduces the likelihood of false negatives. It is also recommended to avoid both post-filtering options for high-selectivity filters (which match very few documents) because the initial set of candidates may not surface enough documents which satisfy the filter.
+
 ## Define a filter
 
 Filters determine the scope of vector queries and are defined using [Documents - Search Post (REST API)](/rest/api/searchservice/documents/search-post). Unless you want to use a preview feature, use the latest stable version of the [Search Service REST APIs](/rest/api/searchservice/search-service-api-versions) to formulate the request.
 
 This REST API provides:
 
 + `filter` for the criteria.
-+ `vectorFilterMode` for pre-query or post-query filtering. For supported modes, see the [next section](#set-the-filter-mode).
++ `vectorFilterMode` to specify when the filter should be applied during the query. For supported modes, see the next section.
 
 ```http
 POST https://{search-endpoint}/indexes/{index-name}/docs/search?api-version={api-version}
 Content-Type: application/json
 api-key: {admin-api-key}
     
-    {
-        "count": true,
-        "select": "title, content, category",
-        "filter": "category eq 'Databases'",
-        "vectorFilterMode": "preFilter",
-        "vectorQueries": [
-            {
-                "kind": "vector",
-                "vector": [
-                    -0.009154141,
-                    0.018708462,
-                    . . . // Trimmed for readability
-                    -0.02178128,
-                    -0.00086512347
-                ],
-                "exhaustive": true,
-                "fields": "contentVector",
-                "k": 5
-            }
-        ]
-    }
+{
+    "count": true,
+    "select": "title, content, category",
+    "filter": "category eq 'Databases'",
+    "vectorFilterMode": "preFilter",
+    "vectorQueries": [
+        {
+            "kind": "vector",
+            "vector": [
+                -0.009154141,
+                0.018708462,
+                . . . // Trimmed for readability
+                -0.02178128,
+                -0.00086512347
+            ],
+            "fields": "contentVector",
+            "k": 50
+        }
+    ]
+}
 ```
 
 In this example, the vector embedding targets the `contentVector` field, and the filter criteria apply to `category`, a filterable text field. Because the `preFilter` mode is used, the filter is applied before the search engine runs the query, so only documents in the `Databases` category are considered during the vector search.
 
-## Set the filter mode
+## Understanding Pre-Filter, Post-Filter, and Strict Post-Filter in HNSW Vector Search
 
 The `vectorFilterMode` parameter determines when and how the filter is applied relative to vector query execution. There are three modes:
 
-+ `preFilter` (default)
-+ `postFilter`
++ `preFilter` (default for indexes created after approximately October 15, 2023) - **recommended**
++ `postFilter` (default for indexes created before approximately October 15, 2023)
 + `strictPostFilter` (preview)
 
-### [preFilter](#tab/prefilter-mode)
+### Pre-filter
+
+Pre-filtering applies filters before query execution, which reduces the candidate set for the vector search algorithm. The top-`k` results are then selected from this filtered set. In a vector query, `preFilter` is the default mode because it favors recall and quality over latency.
 
-Prefiltering applies filters before query execution, which reduces the candidate set for the vector search algorithm. The top-`k` results are then selected from this filtered set.
+1. On each shard, during HNSW traversal, apply the filter predicate when considering candidates, expanding the graph traversal until `k` candidates are found.
+1. Pre-filtered local top-k results are produced per shard, which are aggregated into the global top-k. 
 
-In a vector query, `preFilter` is the default mode because it favors recall and quality over latency.
+**Effect:** Traversal expands the search surface to find more filtered candidates (especially if filter is selective), producing the most similar top-k results across all shards. Each shard will identify `k` number of results which satisfy the filter predicate. Pre-filter guarantees `k` results are returned if they exist in the index. For high selectivity filters, this could cause a significant portion of the graph to be traversed, increasing computation cost and latency and reducing throughput. If your filter has a very high selectivity (very few matches), consider using `exhaustive: true` to perform exhaustive search.
 
-:::image type="content" source="media/vector-search-filters/pre-filter.svg" alt-text="Diagram of prefilters." border="true" lightbox="media/vector-search-filters/pre-filter.png":::
+:::image type="content" source="media/vector-search-filters/vector-filter-modes-prefilter.svg" alt-text="Diagram of prefilters." border="true" lightbox="media/vector-search-filters/vector-filter-modes-prefilter.png":::
 
-### [postFilter](#tab/postfilter-mode)
+### Post-filter
 
-Postfiltering applies filters after query execution, which narrows the search results. This mode processes results within each shard and then merges the filtered results from all shards to produce the top-`k` results. As a result, you might receive documents that match the filter but aren't among the global top-`k` results.
+Post-filtering applies filters after query execution, which narrows the search results. This mode processes results within each shard and then merges the filtered results from all shards to produce the top-`k` results. As a result, you might receive documents that match the filter but aren't among the global top-`k` results.
 
 To use this option in a vector query, use `"vectorFilterMode": "postFilter"`.
 
-:::image type="content" source="media/vector-search-filters/post-filter.svg" alt-text="Diagram of post-filters." border="true" lightbox="media/vector-search-filters/post-filter.png":::
+1. On each shard, run HNSW traversal *without considering the filter* to identify the unfiltered local top-k.
+1. Apply the filter predicate on the unfiltered top-k result for each shard. Note this will reduce the contribution from each shard to be potentially fewer than `k` results.
+1. Aggregate into the global top-k results.
+
+**Effect:** Traversal is performed independently of the filter expression, but because the intersection happens *after* the top-k results are identified, some matching documents that are less similar than the best unfiltered top-k documents will never surface in the search results. For highly selective filters, this can reduce recall or produce false negatives (fewer matching documents returned than actually exist within the index). Latency and throughput is more predictable because traversal cost is not correlated to filter selectivity but rather filter execution cost.
 
-### [strictPostFilter (preview)](#tab/strictpostfilter-mode)
+:::image type="content" source="media/vector-search-filters/vector-filter-modes-postfilter.svg" alt-text="Diagram of post-filters." border="true" lightbox="media/vector-search-filters/vector-filter-modes-postfilter.png":::
 
-Strict postfiltering applies filters after identifying the global top-`k` results. This mode guarantees that the filtered results are always a subset of the unfiltered top `k`.
+### Strict Post-filter (preview)
+
+Strict post-filtering applies filters after identifying the global top-`k` results. This mode guarantees that the filtered results are always a subset of the unfiltered top `k`.
 
 With strict postfiltering, highly selective filters or small `k` values can return zero results (even if matches exist) because only documents that match the filter within the global top `k` are returned. Don't use this mode if missing relevant results could have serious consequences, such as in healthcare or patent searches.
 
 To use this option in a vector query, use `"vectorFilterMode": "strictPostFilter"` with the latest preview version of the [Search Service REST APIs](/rest/api/searchservice/search-service-api-versions).
 
----
+1. On each shard, run HNSW traversal *without considering the filter* to identify the unfiltered local top-k.
+1. Aggregate the local top-k results per shard into an unfiltered global top-k result set.
+1. Apply the filter to this global top-k. Return the subset that satisfies the filter predicate.
+
+**Effect:** Applying a filter will *always* reduce the set of results to be fewer than `k` if some documents don't satisfy the filter. If qualifying items are not present in the global top-k, this mode will never surface them. This option can be useful when building a facet and filter navigation experience to prevent additional results from surfacing after applying increasingly selective filters and increase consistency of facet bucket counts and search counts, at the expense of potential false negatives or zero results.
+
+:::image type="content" source="media/vector-search-filters/vector-filter-modes-strictpostfilter.svg" alt-text="Diagram of strict post-filters." border="true" lightbox="media/vector-search-filters/vector-filter-modes-strictpostfilter.png":::
+
+## Comparison table
+
+| Mode | Recall (filtered results) | Computational cost | Risk of false negatives | When to use |
+| -------- | -------------: | ------------: | ---------------------: | ----------------------------------- |
+| Pre-filter  |  Very high | Higher (increases with filter selectivity and complexity) | No false negatives | **(recommended as the default in order to favor recall over speed)** Especially when recall for filtered queries is critical (sensitive search domains), filter is selective, or k is small |
+| Post-filter |  Medium-high, reduces with filter selectivity | Similar to unfiltered but increases with filter complexity | Moderate (per-shard misses possible) | Can be an option for higher `k` queries and filters which are not too selective |
+| Strict post-filter | Lowest (degrades the fastest with filter selectivity) | Similar to unfiltered | Highest - can return zero results for small k or selective filters | For faceted search applications where surfacing additional results after applying a filter impacts the user experience. Do not use with small `k`. | 
 
 ### Benchmark testing of prefiltering and postfiltering

Summary

{
    "modification_type": "minor update",
    "modification_title": "ベクトル検索フィルターに関するドキュメントの更新"
}

Explanation

この変更では、vector-search-filters.mdファイルに新たに72行が追加され、36行が削除され、合計で108行の修正が行われました。主な更新内容は、Azure AI Searchにおけるベクトル検索のフィルタリングメカニズムに関する詳細情報の追加です。

具体的には、近似最近傍検索（ANN）における階層ナビゲーション可能小世界（HNSW）アルゴリズムについての説明が新たに加えられ、フィルタリングのオプションがどのように結果に影響を与えるか、またそれに伴うレイテンシーやリコール、スループットの変化についても言及されています。

更新された内容では、vectorFilterModeパラメータや、preFilter、postFilter、およびstrictPostFilterといったフィルタリングモードに関する具体的な機能と効果が詳しく説明されています。また、これらのフィルタリングオプションの比較表も追加されており、それぞれの使用目的や推奨される状況が明示されています。

この更新により、ユーザーはベクトル検索におけるフィルタリングの取り扱いや、どのモードが最も適切かを理解し、自分のニーズに応じた選択をするための情報を得られるようになります。全体として、ユーザー体験の向上を目的とした重要な修正です。