Merge pull request #2780 from milvus-io/feat/v2.4.x-i18n

feat: update docs

site/en/about/comparison.md

@@ -52,7 +52,7 @@ Although both serve similar functions as vector databases, the domain-specific t
 | Deployment Modes | SaaS-only | Milvus Lite, On-prem Standalone & Cluster,  Zilliz Cloud Saas & BYOC |
 | Embedding Functions | Not available	 | Support with <a href="https://github.com/milvus-io/milvus-model">pymilvus[model]</a> |
 | Data Types | String, Number, Bool, List of String | String, VarChar, Number (Int, Float, Double), Bool, Array, JSON, Float Vector, Binary Vector, BFloat16, Float16, Sparse Vector |
-| Metric and Index Types | Cos, Dot, Euclidean<br>P-family, S-family | Cosine, IP (Dot), L2 (Euclidean),  Hamming, Jaccard<br>FLAT, IVF_FLAT, IVF_SQ8, IVF_PQ, HNSW, SCANN, GPU Indexes |
+| Metric and Index Types | Cos, Dot, Euclidean<br/>P-family, S-family | Cosine, IP (Dot), L2 (Euclidean),  Hamming, Jaccard<br/>FLAT, IVF_FLAT, IVF_SQ8, IVF_PQ, HNSW, SCANN, GPU Indexes |
 | Schema Design | Flexible mode | Flexible mode, Strict mode |
 | Multiple Vector Fields | N/A | Multi-vector and hybrid search |
 | Tools | Datasets, text utilities, spark connector | Attu, Birdwatcher, Backup, CLI, CDC, Spark and Kafka connectors |

site/en/about/roadmap.md

@@ -22,28 +22,28 @@ Welcome to the Milvus Roadmap! Join us on our continuous journey to enhance and
     </thead>
     <tbody>
         <tr>
-            <td><strong>AI-developer Friendly</strong><br><i>A developer-friendly technology stack, enhanced with the latest AI innovations</i></td>
-            <td><strong>Multi-Vectors & Hybrid Search</strong><br><i>Framework for multiplex recall and fusion</i><br><br><strong>GPU Index Acceleration</strong><br><i>Support for higher QPS and faster index creation</i><br><br><strong>Model Library in PyMilvus</strong><br><i>Integrated embedding models for Milvus</i></td>
-            <td><strong>Sparse Vector (GA)</strong><br><i>Local feature extraction and keyword search</i><br><br><strong>Milvus Lite (GA)</strong><br><i>A lightweight, in-memory version of Milvus</i><br><br><strong>Embedding Models Gallery</strong><br><i>Support for image and multi-modal embeddings and reranker models in model libraries</i></td>
-            <td><strong>Original Data-In and Data-Out</strong><br><i>Support for Blob data types</i><br><br><strong>Data Clustering</strong><br><i>Data co-locality</i><br><br><strong>Scenario-oriented Vector Search</strong><br><i>e.g. Multi-target search & NN filtering</i><br><br><strong>Support Embedding & Reranker Endpoint</strong></td>
+            <td><strong>AI-developer Friendly</strong><br/><i>A developer-friendly technology stack, enhanced with the latest AI innovations</i></td>
+            <td><strong>Multi-Vectors & Hybrid Search</strong><br/><i>Framework for multiplex recall and fusion</i><br/><br/><strong>GPU Index Acceleration</strong><br/><i>Support for higher QPS and faster index creation</i><br/><br/><strong>Model Library in PyMilvus</strong><br/><i>Integrated embedding models for Milvus</i></td>
+            <td><strong>Sparse Vector (GA)</strong><br/><i>Local feature extraction and keyword search</i><br/><br/><strong>Milvus Lite (GA)</strong><br/><i>A lightweight, in-memory version of Milvus</i><br/><br/><strong>Embedding Models Gallery</strong><br/><i>Support for image and multi-modal embeddings and reranker models in model libraries</i></td>
+            <td><strong>Original Data-In and Data-Out</strong><br/><i>Support for Blob data types</i><br/><br/><strong>Data Clustering</strong><br/><i>Data co-locality</i><br/><br/><strong>Scenario-oriented Vector Search</strong><br/><i>e.g. Multi-target search & NN filtering</i><br/><br/><strong>Support Embedding & Reranker Endpoint</strong></td>
         </tr>
         <tr>
-            <td><strong>Rich Functionality</strong><br><i>Enhanced retrieval and data management features</i></td>
-            <td><strong>Support for FP16, BF16 Datatypes</strong><br><i>These ML datatypes can help reduce memory usage</i><br><br><strong>Grouping Search</strong><br><i>Aggregate split embeddings</i><br><br><strong>Fuzzy Match and Inverted Index</strong><br><i>Support for fuzzy matching and inverted indexing for scalar types like varchar and int</i></td>
-            <td><strong>Inverted Index for Array & JSON</strong><br><i>Indexing for array and partial support JSON</i><br><br><strong>Bitset Index</strong><br><i>Improved execution speed and future data aggregation</i><br><br><strong>Truncate Collection</strong><br><i>Allows data clearance while preserving metadata</i><br><br><strong>Support for NULL and Default Values</strong></td>
-            <td><strong>Support for More Datatypes</strong><br><i>e.g. Datetime, GIS</i><br><br><strong>Advanced Text Filtering</strong><br><i>e.g. Match Phrase</i><br><br><strong>Primary Key Deduplication</strong></td>
+            <td><strong>Rich Functionality</strong><br/><i>Enhanced retrieval and data management features</i></td>
+            <td><strong>Support for FP16, BF16 Datatypes</strong><br/><i>These ML datatypes can help reduce memory usage</i><br/><br/><strong>Grouping Search</strong><br/><i>Aggregate split embeddings</i><br/><br/><strong>Fuzzy Match and Inverted Index</strong><br/><i>Support for fuzzy matching and inverted indexing for scalar types like varchar and int</i></td>
+            <td><strong>Inverted Index for Array & JSON</strong><br/><i>Indexing for array and partial support JSON</i><br/><br/><strong>Bitset Index</strong><br/><i>Improved execution speed and future data aggregation</i><br/><br/><strong>Truncate Collection</strong><br/><i>Allows data clearance while preserving metadata</i><br/><br/><strong>Support for NULL and Default Values</strong></td>
+            <td><strong>Support for More Datatypes</strong><br/><i>e.g. Datetime, GIS</i><br/><br/><strong>Advanced Text Filtering</strong><br/><i>e.g. Match Phrase</i><br/><br/><strong>Primary Key Deduplication</strong></td>
         </tr>
         <tr>
-            <td><strong>Cost Efficiency & Architecture</strong><br><i>Advanced systems emphasizing stability, cost efficiency, scalability, and performance</i></td>
-            <td><strong>Support for More Collections/Partitions</strong><br><i>Handles over 10,000 collections in smaller clusters</i><br><br><strong>Mmap Optimization</strong><br><i>Balances reduced memory consumption with latency</i><br><br><strong>Bulk Insert Optimazation</strong><br><i>Simplifies importing large datasets</i></td>
-            <td><strong>Lazy Load</strong><br><i>Data is loaded on-demand through read operations</i><br><br><strong>Major Compaction</strong><br><i>Re-distributes data based on configuration to enhance read performance</i><br><br><strong>Mmap for Growing Data</strong><br><i>Mmap files for expanding data segments</i></td>
-            <td><strong>Memory Control</strong><br><i>Reduces out-of-memory issues and provides global memory management</i><br><br><strong>LogNode Introduction</strong><br><i>Ensures global consistency and addresses the single-point bottleneck in root coordination</i><br><br><strong>Storage Format V2</strong><br><i>Universal format design lays the groundwork for disk-based data access</i></td>
+            <td><strong>Cost Efficiency & Architecture</strong><br/><i>Advanced systems emphasizing stability, cost efficiency, scalability, and performance</i></td>
+            <td><strong>Support for More Collections/Partitions</strong><br/><i>Handles over 10,000 collections in smaller clusters</i><br/><br/><strong>Mmap Optimization</strong><br/><i>Balances reduced memory consumption with latency</i><br/><br/><strong>Bulk Insert Optimazation</strong><br/><i>Simplifies importing large datasets</i></td>
+            <td><strong>Lazy Load</strong><br/><i>Data is loaded on-demand through read operations</i><br/><br/><strong>Major Compaction</strong><br/><i>Re-distributes data based on configuration to enhance read performance</i><br/><br/><strong>Mmap for Growing Data</strong><br/><i>Mmap files for expanding data segments</i></td>
+            <td><strong>Memory Control</strong><br/><i>Reduces out-of-memory issues and provides global memory management</i><br/><br/><strong>LogNode Introduction</strong><br/><i>Ensures global consistency and addresses the single-point bottleneck in root coordination</i><br/><br/><strong>Storage Format V2</strong><br/><i>Universal format design lays the groundwork for disk-based data access</i></td>
         </tr>
         <tr>
-            <td><strong>Enterprise Ready</strong><br><i>Designed to meet the needs of enterprise production environments</i></td>
-            <td><strong>Milvus CDC</strong><br><i>Capability for data replication</i><br><br><strong>Accesslog Enhancement</strong><br><i>Detailed recording for audit and tracing</i></td>
-            <td><strong>New Resource Group</strong><br><i>Enhanced resource management</i><br><br><strong>Storage Hook</strong><br><i>Support for Bring Your Own Key (BYOK) encryption</i></td>
-            <td><strong>Dynamic Replica Number Adjustment</strong><br><i>Facilitates dynamic changes to the number of replicas</i><br><br><strong>Dynamic Schema Modification</strong><br><i>e.g., Add/delete fields, modify varchar lengths</i><br><br><strong>Rust and C# SDKs</strong></td>
+            <td><strong>Enterprise Ready</strong><br/><i>Designed to meet the needs of enterprise production environments</i></td>
+            <td><strong>Milvus CDC</strong><br/><i>Capability for data replication</i><br/><br/><strong>Accesslog Enhancement</strong><br/><i>Detailed recording for audit and tracing</i></td>
+            <td><strong>New Resource Group</strong><br/><i>Enhanced resource management</i><br/><br/><strong>Storage Hook</strong><br/><i>Support for Bring Your Own Key (BYOK) encryption</i></td>
+            <td><strong>Dynamic Replica Number Adjustment</strong><br/><i>Facilitates dynamic changes to the number of replicas</i><br/><br/><strong>Dynamic Schema Modification</strong><br/><i>e.g., Add/delete fields, modify varchar lengths</i><br/><br/><strong>Rust and C# SDKs</strong></td>
         </tr>
     </tbody>
 </table>

site/en/adminGuide/deploy_etcd.md

@@ -50,7 +50,7 @@ Run the following command to start Milvus that uses the etcd configurations.
 docker compose up
 ```
 
-<div class="alert note">Configurations only take effect after Milvus starts. See <a href=https://milvus.io/docs/install_standalone-docker.md#Start-Milvus>Start Milvus</a> for more information.</div>
+<div class="alert note">Configurations only take effect after Milvus starts. See <a href="https://milvus.io/docs/install_standalone-docker.md#Start-Milvus">Start Milvus</a> for more information.</div>
 
 ## Configure etcd on K8s
 

site/en/adminGuide/deploy_pulsar.md

@@ -34,7 +34,7 @@ Run the following command to start Milvus that uses the Pulsar configurations.
 docker compose up
 ```
 
-<div class="alert note">Configurations only take effect after Milvus starts. See <a href=https://milvus.io/docs/install_standalone-docker.md#Start-Milvus>Start Milvus</a> for more information.</div>
+<div class="alert note">Configurations only take effect after Milvus starts. See <a href="https://milvus.io/docs/install_standalone-docker.md#Start-Milvus">Start Milvus</a> for more information.</div>
 
 
 ## Configure Pulsar with Helm

site/en/adminGuide/deploy_s3.md

@@ -35,7 +35,7 @@ Run the following command to start Milvus that uses the S3 configurations.
 ```shell
 docker compose up
 ```
-<div class="alert note">Configurations only take effect after Milvus starts. See <a href=https://milvus.io/docs/install_standalone-docker.md#Start-Milvus>Start Milvus</a> for more information.</div>
+<div class="alert note">Configurations only take effect after Milvus starts. See <a href="https://milvus.io/docs/install_standalone-docker.md#Start-Milvus">Start Milvus</a> for more information.</div>
 
 ## Configure S3 on K8s
 

site/en/adminGuide/rbac.md

@@ -43,7 +43,7 @@ client.create_user(
 
 After creating a user, you can:
 
-- Update a user password. You need to provide both the original and the new password. 
+- Update a user password. You need to provide both the original and the new password.
 
 ```python
 client.update_password(
@@ -94,9 +94,9 @@ client.list_roles()
 
 ## 4. Grant a privilege to a role
 
-The following example demonstrates how to grant the permission of searching all collections to the role named `roleA`. 
+The following example demonstrates how to grant the permission of searching all collections to the role named `roleA`.
 
-The `object_type` specifies the object type, which can also be understood as the resource type. Currently, valid values ​​include Collection/User/Global, etc., where Global means that there is no specific resource type. The `object_name` is the resource name. If object_type is Collection, then object name can be referred to a specific collection name, or you can use * to specify all collections. If object_type is Global, then the object name can be only specified as *. See [Users and Roles](users_and_roles.md) for other types of privileges you can grant.
+The `object_type` specifies the object type, which can also be understood as the resource type. Currently, valid values ​​include Collection/User/Global, etc., where Global means that there is no specific resource type. The `object_name` is the resource name. If object*type is Collection, then object name can be referred to a specific collection name, or you can use * to specify all collections. If object*type is Global, then the object name can be only specified as *. See [Users and Roles](users_and_roles.md) for other types of privileges you can grant.
 
 Before managing role privileges, make sure you have enabled user authentication. Otherwise, an error may occur. For information on how to enable user authentication, refer to [Authenticate User Access](authenticate.md).
 
@@ -105,7 +105,7 @@ Before managing role privileges, make sure you have enabled user authentication.
 
 client.grant_privilege(
     role_name='roleA',
-    object_type='User',  # value here can be Global, Collection or User, object type also depends on the API defined in privilegeName 
+    object_type='User',  # value here can be Global, Collection or User, object type also depends on the API defined in privilegeName
     object_name='user_1',  # value here can be * or a specific user name if object type is 'User'
     privilege='SelectUser'
 )
@@ -151,7 +151,7 @@ client.describe_user(
 )
 
 # output:
-# {'user_name': 'user_1', 'roles': ('roleA',)}
+# {'user_name': 'user_1', 'roles': ('roleA')}
 ```
 
 ## 6. Revoke privileges
@@ -167,7 +167,7 @@ Exercise caution when performing the following operations because these operatio
 ```python
 client.revoke_privilege(
     role_name='roleA',
-    object_type='User',  # value here can be Global, Collection or User, object type also depends on the API defined in privilegeName 
+    object_type='User',  # value here can be Global, Collection or User, object type also depends on the API defined in privilegeName
     object_name='user_1',  # value here can be * or a specific user name if object type is 'User'
     privilege='SelectUser'
 )

site/en/faq/operational_faq.md

@@ -6,10 +6,6 @@ title: Operational FAQ
 
 # Operational FAQ
 
-<!-- TOC -->
-
-
-<!-- /TOC -->
 
 #### What if I failed to pull the Milvus Docker image from Docker Hub?
 

site/en/faq/performance_faq.md

@@ -6,10 +6,6 @@ title: Performance FAQ
 
 # Performance FAQ
 
-<!-- TOC -->
-
-
-<!-- /TOC -->
 
 #### How to set `nlist` and `nprobe` for IVF indexes?
 

site/en/faq/product_faq.md

@@ -6,11 +6,6 @@ title: Product FAQ
 
 # Product FAQ
 
-<!-- TOC -->
-
-
-
-<!-- /TOC -->
 
 #### How much does Milvus cost?