[PR #18769] [CLOSED] chore(deps): bump pymilvus from 2.6.2 to 2.6.3 in /backend #11714

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opened 2025-11-11 19:39:22 -06:00 by GiteaMirror · 0 comments
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📋 Pull Request Information

Original PR: https://github.com/open-webui/open-webui/pull/18769
Author: @dependabot[bot]
Created: 11/1/2025
Status: Closed

Base: devHead: dependabot/pip/backend/dev/pymilvus-2.6.3


📝 Commits (1)

  • 9bbae49 chore(deps): bump pymilvus from 2.6.2 to 2.6.3 in /backend

📊 Changes

1 file changed (+1 additions, -1 deletions)

View changed files

📝 backend/requirements.txt (+1 -1)

📄 Description

Bumps pymilvus from 2.6.2 to 2.6.3.

Release notes

Sourced from pymilvus's releases.

PyMilvus v2.6.3 Release Notes

Highlights

1. Support for Array of Structs

PyMilvus now supports array of structs data types, allowing you to store and query complex nested data structures.

from pymilvus import MilvusClient, DataType

client = MilvusClient(uri="http://localhost:19530")

schema = client.create_schema(auto_id=False) schema.add_field(field_name="id", datatype=DataType.INT64, is_primary=True) schema.add_field(field_name="vector", datatype=DataType.FLOAT_VECTOR, dim=128)

struct_schema = MilvusClient.create_struct_field_schema() struct_schema.add_field(field_name="name", datatype=DataType.VARCHAR, max_length=100) struct_schema.add_field(field_name="age", datatype=DataType.INT64) struct_schema.add_field(field_name="text", datatype=DataType.VARCHAR, max_length=65535) struct_schema.add_field(field_name="emb", datatype=DataType.FLOAT_VECTOR, dim=128) schema.add_field( field_name="user_info", datatype=DataType.ARRAY, element_type=DataType.STRUCT, struct_schema=struct_schema, max_capacity=1000, )

client.create_collection(collection_name="users", schema=schema)

data = { "id": 1, "user_info": [ {"name": "Alice", "age": 30, "text": "this is alice", "emb": [0.1] * 128}, {"name": "Bob", "age": 20, "text": "this is bob", "emb": [0.2] * 128}, ] "vector": [0.1] * 128 }

client.insert(collection_name="users", data=[data])

📖 Documentation Array of Structs, Compatible with Milvus 2.6.4+

2. Geometry Data Type Support

Query and search with geographic data using the new Geometry data type.

</tr></table> 

... (truncated)

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🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/open-webui/open-webui/pull/18769 **Author:** [@dependabot[bot]](https://github.com/apps/dependabot) **Created:** 11/1/2025 **Status:** ❌ Closed **Base:** `dev` ← **Head:** `dependabot/pip/backend/dev/pymilvus-2.6.3` --- ### 📝 Commits (1) - [`9bbae49`](https://github.com/open-webui/open-webui/commit/9bbae49f4dc4a4578a7fda245af7260ec7e17a26) chore(deps): bump pymilvus from 2.6.2 to 2.6.3 in /backend ### 📊 Changes **1 file changed** (+1 additions, -1 deletions) <details> <summary>View changed files</summary> 📝 `backend/requirements.txt` (+1 -1) </details> ### 📄 Description Bumps [pymilvus](https://github.com/milvus-io/pymilvus) from 2.6.2 to 2.6.3. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/milvus-io/pymilvus/releases">pymilvus's releases</a>.</em></p> <blockquote> <h2>PyMilvus v2.6.3 Release Notes</h2> <h2>Highlights</h2> <h3>1. Support for Array of Structs</h3> <p>PyMilvus now supports array of structs data types, allowing you to store and query complex nested data structures.</p> <pre lang="python"><code>from pymilvus import MilvusClient, DataType <p>client = MilvusClient(uri=&quot;<a href="http://localhost:19530">http://localhost:19530</a>&quot;)</p> <p>schema = client.create_schema(auto_id=False) schema.add_field(field_name=&quot;id&quot;, datatype=DataType.INT64, is_primary=True) schema.add_field(field_name=&quot;vector&quot;, datatype=DataType.FLOAT_VECTOR, dim=128)</p> <p>struct_schema = MilvusClient.create_struct_field_schema() struct_schema.add_field(field_name=&quot;name&quot;, datatype=DataType.VARCHAR, max_length=100) struct_schema.add_field(field_name=&quot;age&quot;, datatype=DataType.INT64) struct_schema.add_field(field_name=&quot;text&quot;, datatype=DataType.VARCHAR, max_length=65535) struct_schema.add_field(field_name=&quot;emb&quot;, datatype=DataType.FLOAT_VECTOR, dim=128) schema.add_field( field_name=&quot;user_info&quot;, datatype=DataType.ARRAY, element_type=DataType.STRUCT, struct_schema=struct_schema, max_capacity=1000, )</p> <p>client.create_collection(collection_name=&quot;users&quot;, schema=schema)</p> <p>data = { &quot;id&quot;: 1, &quot;user_info&quot;: [ {&quot;name&quot;: &quot;Alice&quot;, &quot;age&quot;: 30, &quot;text&quot;: &quot;this is alice&quot;, &quot;emb&quot;: [0.1] * 128}, {&quot;name&quot;: &quot;Bob&quot;, &quot;age&quot;: 20, &quot;text&quot;: &quot;this is bob&quot;, &quot;emb&quot;: [0.2] * 128}, ] &quot;vector&quot;: [0.1] * 128 }</p> <p>client.insert(collection_name=&quot;users&quot;, data=[data]) </code></pre></p> <p>📖 <a href="https://milvus.io/docs/array-of-structs.md#Array-of-Structs">Documentation Array of Structs</a>, Compatible with Milvus 2.6.4+</p> <h3>2. Geometry Data Type Support</h3> <p>Query and search with geographic data using the new Geometry data type.</p> <pre lang="python"><code>&lt;/tr&gt;&lt;/table&gt; </code></pre> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/milvus-io/pymilvus/commit/9b0f35d433de3abe8cffe9d62c4822ff0d2729f3"><code>9b0f35d</code></a> enhance: Cherry pick multiple prs from master branch (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/3048">#3048</a>)</li> <li><a href="https://github.com/milvus-io/pymilvus/commit/0159b0ae5ce09876be2de42661e91b7ad372d672"><code>0159b0a</code></a> feat:Support geo data type for insert, query and search (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/2925">#2925</a>) (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/3043">#3043</a>)</li> <li><a href="https://github.com/milvus-io/pymilvus/commit/626c573ecbb27403e6c23d83d9374a9456d1cdcf"><code>626c573</code></a> feat: add STRUCT level mmap config [2.6] (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/3037">#3037</a>)</li> <li><a href="https://github.com/milvus-io/pymilvus/commit/ba0a92c510afdcbae52e837e484e77b20c0b25ae"><code>ba0a92c</code></a> Support insert serialized json (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/3024">#3024</a>) (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/3031">#3031</a>)</li> <li><a href="https://github.com/milvus-io/pymilvus/commit/3fe6f9ecc043e5c0b06a461cf61e89a314a58ec9"><code>3fe6f9e</code></a> Fix hybrid_search to support EmbeddingList in request data (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/3028">#3028</a>)</li> <li><a href="https://github.com/milvus-io/pymilvus/commit/d7f09549d2462815802d21244d383e5a74e46d00"><code>d7f0954</code></a> feat: sdk for struct [2.6] (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/3026">#3026</a>)</li> <li><a href="https://github.com/milvus-io/pymilvus/commit/568a3a58605f2294ed53d22dc8e543ffdfed373c"><code>568a3a5</code></a> Feature: add retry and schema cache for async pymilvus (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/3018">#3018</a>) (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/3023">#3023</a>)</li> <li><a href="https://github.com/milvus-io/pymilvus/commit/c12f674e1f1e1bac2ed0b4622cde2e4e47c60b09"><code>c12f674</code></a> enhance: [2.6] raise error when ranker with unknwon type (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/3021">#3021</a>)</li> <li><a href="https://github.com/milvus-io/pymilvus/commit/bbd713211d286ba378cb8b9d518c924ed378c97d"><code>bbd7132</code></a> enhance: Remove all annoying logs in MilvusClient (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/3016">#3016</a>)</li> <li><a href="https://github.com/milvus-io/pymilvus/commit/930d3374f85f3ad72b646b991f6110859270299d"><code>930d337</code></a> feat: [2.6] support use function scorer as ranker not one function (<a href="https://redirect.github.com/milvus-io/pymilvus/issues/3010">#3010</a>)</li> <li>Additional commits viewable in <a href="https://github.com/milvus-io/pymilvus/compare/v2.6.2...v2.6.3">compare view</a></li> </ul> </details> <br /> [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=pymilvus&package-manager=pip&previous-version=2.6.2&new-version=2.6.3)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
GiteaMirror added the pull-request label 2025-11-11 19:39:22 -06:00
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Reference: github-starred/open-webui#11714