chore: librarian generate pull request: 20251121T141443Z (#14902)

PR created by the Librarian CLI to generate Cloud Client Libraries code
from protos.

BEGIN_COMMIT

BEGIN_NESTED_COMMIT
feat: Added TextSearch support to the batch search API


PiperOrigin-RevId: 834645993
Library-IDs: google-cloud-vectorsearch
Source-link:
[googleapis/googleapis@d6a2197c](googleapis/googleapis@d6a2197c)
END_NESTED_COMMIT

BEGIN_NESTED_COMMIT
docs: Added clarification of expected format of collection and index
fields


PiperOrigin-RevId: 834645993
Library-IDs: google-cloud-vectorsearch
Source-link:
[googleapis/googleapis@d6a2197c](googleapis/googleapis@d6a2197c)
END_NESTED_COMMIT

END_COMMIT

This pull request is generated with proto changes between

[googleapis/googleapis@9fcfbea0](googleapis/googleapis@9fcfbea)
(exclusive) and

[googleapis/googleapis@d6a2197c](googleapis/googleapis@d6a2197)
(inclusive).

Librarian Version: v0.0.0-20251113212345-55e52e492404
Language Image:
us-central1-docker.pkg.dev/cloud-sdk-librarian-prod/images-prod/python-librarian-generator@sha256:72e9b62c0f8f3799651ee62d777a2905f5b72ff19ea46f2e7b7d682d7d1e9414

Author: cloud-sdk-librarian-robot

.librarian/state.yaml

@@ -3500,7 +3500,7 @@ libraries:
     tag_format: '{id}-v{version}'
   - id: google-cloud-vectorsearch
     version: 0.1.0
-    last_generated_commit: 9fcfbea0aa5b50fa22e190faceb073d74504172b
+    last_generated_commit: ded7ed1e4cce7c165c56a417572cebea9bc1d82c
     apis:
       - path: google/cloud/vectorsearch/v1beta
         service_config: vectorsearch_v1beta.yaml

packages/google-cloud-vectorsearch/.repo-metadata.json

@@ -2,7 +2,7 @@
   "name": "google-cloud-vectorsearch",
   "name_pretty": "Vector Search API",
   "api_description": "The Vector Search API provides a fully-managed, highly performant, and\nscalable vector database designed to power next-generation search,\nrecommendation, and generative AI applications. It allows you to store,\nindex, and query your data and its corresponding vector embeddings through\na simple, intuitive interface. With Vector Search, you can define custom\nschemas for your data, insert objects with associated metadata,\nautomatically generate embeddings from your data, and perform fast\napproximate nearest neighbor (ANN) searches to find semantically similar\nitems at scale.",
-  "product_documentation": "https://docs.cloud.google.com/vertex-ai/docs/vector-search/overview",
+  "product_documentation": "https://docs.cloud.google.com/vertex-ai/docs/vector-search-2/overview",
   "client_documentation": "https://cloud.google.com/python/docs/reference/google-cloud-vectorsearch/latest",
   "issue_tracker": "https://issuetracker.google.com/issues/new?component=1899904",
   "release_level": "preview",

packages/google-cloud-vectorsearch/README.rst

@@ -22,9 +22,9 @@ items at scale.
    :target: https://pypi.org/project/google-cloud-vectorsearch/
 .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-vectorsearch.svg
    :target: https://pypi.org/project/google-cloud-vectorsearch/
-.. _Vector Search API: https://docs.cloud.google.com/vertex-ai/docs/vector-search/overview
+.. _Vector Search API: https://docs.cloud.google.com/vertex-ai/docs/vector-search-2/overview
 .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/google-cloud-vectorsearch/latest/summary_overview
-.. _Product Documentation:  https://docs.cloud.google.com/vertex-ai/docs/vector-search/overview
+.. _Product Documentation:  https://docs.cloud.google.com/vertex-ai/docs/vector-search-2/overview
 
 Quick Start
 -----------
@@ -38,7 +38,7 @@ In order to use this library, you first need to go through the following steps:
 
 .. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
 .. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
-.. _Enable the Vector Search API.:  https://docs.cloud.google.com/vertex-ai/docs/vector-search/overview
+.. _Enable the Vector Search API.:  https://docs.cloud.google.com/vertex-ai/docs/vector-search-2/overview
 .. _Set up Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
 
 Installation
@@ -112,7 +112,7 @@ Next Steps
 -  View this `README`_ to see the full list of Cloud
    APIs that we cover.
 
-.. _Vector Search API Product documentation:  https://docs.cloud.google.com/vertex-ai/docs/vector-search/overview
+.. _Vector Search API Product documentation:  https://docs.cloud.google.com/vertex-ai/docs/vector-search-2/overview
 .. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst
 
 Logging

packages/google-cloud-vectorsearch/docs/README.rst

@@ -22,9 +22,9 @@ items at scale.
    :target: https://pypi.org/project/google-cloud-vectorsearch/
 .. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-vectorsearch.svg
    :target: https://pypi.org/project/google-cloud-vectorsearch/
-.. _Vector Search API: https://docs.cloud.google.com/vertex-ai/docs/vector-search/overview
+.. _Vector Search API: https://docs.cloud.google.com/vertex-ai/docs/vector-search-2/overview
 .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/google-cloud-vectorsearch/latest/summary_overview
-.. _Product Documentation:  https://docs.cloud.google.com/vertex-ai/docs/vector-search/overview
+.. _Product Documentation:  https://docs.cloud.google.com/vertex-ai/docs/vector-search-2/overview
 
 Quick Start
 -----------
@@ -38,7 +38,7 @@ In order to use this library, you first need to go through the following steps:
 
 .. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project
 .. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project
-.. _Enable the Vector Search API.:  https://docs.cloud.google.com/vertex-ai/docs/vector-search/overview
+.. _Enable the Vector Search API.:  https://docs.cloud.google.com/vertex-ai/docs/vector-search-2/overview
 .. _Set up Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html
 
 Installation
@@ -112,7 +112,7 @@ Next Steps
 -  View this `README`_ to see the full list of Cloud
    APIs that we cover.
 
-.. _Vector Search API Product documentation:  https://docs.cloud.google.com/vertex-ai/docs/vector-search/overview
+.. _Vector Search API Product documentation:  https://docs.cloud.google.com/vertex-ai/docs/vector-search-2/overview
 .. _README: https://github.com/googleapis/google-cloud-python/blob/main/README.rst
 
 Logging

packages/google-cloud-vectorsearch/google/cloud/vectorsearch_v1beta/services/vector_search_service/async_client.py

@@ -607,9 +607,11 @@ async def sample_create_collection():
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
             collection_id (:class:`str`):
-                Required. Id of the requesting object If auto-generating
-                Id server-side, remove this field and collection_id from
-                the method_signature of Create RPC
+                Required. ID of the Collection to create. The id must be
+                1-63 characters long, and comply with RFC1035.
+                Specifically, it must be 1-63 characters long and match
+                the regular expression
+                ``[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?``.
 
                 This corresponds to the ``collection_id`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -1275,9 +1277,10 @@ async def sample_create_index():
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
             index_id (:class:`str`):
-                Required. Id of the requesting object If auto-generating
-                Id server-side, remove this field and index_id from the
-                method_signature of Create RPC
+                Required. ID of the Index to create. The id must be 1-63
+                characters long, and comply with RFC1035. Specifically,
+                it must be 1-63 characters long and match the regular
+                expression ``[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?``.
 
                 This corresponds to the ``index_id`` field
                 on the ``request`` instance; if ``request`` is provided, this

packages/google-cloud-vectorsearch/google/cloud/vectorsearch_v1beta/services/vector_search_service/client.py

@@ -1047,9 +1047,11 @@ def sample_create_collection():
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
             collection_id (str):
-                Required. Id of the requesting object If auto-generating
-                Id server-side, remove this field and collection_id from
-                the method_signature of Create RPC
+                Required. ID of the Collection to create. The id must be
+                1-63 characters long, and comply with RFC1035.
+                Specifically, it must be 1-63 characters long and match
+                the regular expression
+                ``[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?``.
 
                 This corresponds to the ``collection_id`` field
                 on the ``request`` instance; if ``request`` is provided, this
@@ -1700,9 +1702,10 @@ def sample_create_index():
                 on the ``request`` instance; if ``request`` is provided, this
                 should not be set.
             index_id (str):
-                Required. Id of the requesting object If auto-generating
-                Id server-side, remove this field and index_id from the
-                method_signature of Create RPC
+                Required. ID of the Index to create. The id must be 1-63
+                characters long, and comply with RFC1035. Specifically,
+                it must be 1-63 characters long and match the regular
+                expression ``[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?``.
 
                 This corresponds to the ``index_id`` field
                 on the ``request`` instance; if ``request`` is provided, this

packages/google-cloud-vectorsearch/google/cloud/vectorsearch_v1beta/types/data_object_search_service.py

@@ -165,6 +165,10 @@ class Search(proto.Message):
         semantic_search (google.cloud.vectorsearch_v1beta.types.SemanticSearch):
             A semantic search.
 
+            This field is a member of `oneof`_ ``search_type``.
+        text_search (google.cloud.vectorsearch_v1beta.types.TextSearch):
+            A text search operation.
+
             This field is a member of `oneof`_ ``search_type``.
     """
 
@@ -180,6 +184,12 @@ class Search(proto.Message):
         oneof="search_type",
         message="SemanticSearch",
     )
+    text_search: "TextSearch" = proto.Field(
+        proto.MESSAGE,
+        number=3,
+        oneof="search_type",
+        message="TextSearch",
+    )
 
 
 class VectorSearch(proto.Message):
@@ -286,6 +296,10 @@ class SemanticSearch(proto.Message):
         output_fields (google.cloud.vectorsearch_v1beta.types.OutputFields):
             Optional. The fields to return in the search
             results.
+        filter (google.protobuf.struct_pb2.Struct):
+            Optional. A JSON filter expression, e.g.
+            {"genre": {"$eq": "sci-fi"}}, represented as a
+            google.protobuf.Struct.
         top_k (int):
             Optional. The number of data objects to
             return.
@@ -311,6 +325,11 @@ class SemanticSearch(proto.Message):
         number=3,
         message="OutputFields",
     )
+    filter: struct_pb2.Struct = proto.Field(
+        proto.MESSAGE,
+        number=6,
+        message=struct_pb2.Struct,
+    )
     top_k: int = proto.Field(
         proto.INT32,
         number=4,

packages/google-cloud-vectorsearch/google/cloud/vectorsearch_v1beta/types/vectorsearch_service.py

@@ -76,8 +76,12 @@ class Collection(proto.Message):
         vector_schema (MutableMapping[str, google.cloud.vectorsearch_v1beta.types.VectorField]):
             Optional. Schema for vector fields. Only
             vector fields in this schema will be searchable.
+            Field names must contain only alphanumeric
+            characters, underscores, and hyphens.
         data_schema (google.protobuf.struct_pb2.Struct):
             Optional. JSON Schema for data.
+            Field names must contain only alphanumeric
+            characters, underscores, and hyphens.
     """
 
     name: str = proto.Field(
@@ -285,9 +289,10 @@ class CreateCollectionRequest(proto.Message):
         parent (str):
             Required. Value for parent.
         collection_id (str):
-            Required. Id of the requesting object If auto-generating Id
-            server-side, remove this field and collection_id from the
-            method_signature of Create RPC
+            Required. ID of the Collection to create. The id must be
+            1-63 characters long, and comply with RFC1035. Specifically,
+            it must be 1-63 characters long and match the regular
+            expression ``[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?``.
         collection (google.cloud.vectorsearch_v1beta.types.Collection):
             Required. The resource being created
         request_id (str):
@@ -520,9 +525,10 @@ class CreateIndexRequest(proto.Message):
             create the Index. Format:
             ``projects/{project}/locations/{location}/collections/{collection}``
         index_id (str):
-            Required. Id of the requesting object If auto-generating Id
-            server-side, remove this field and index_id from the
-            method_signature of Create RPC
+            Required. ID of the Index to create. The id must be 1-63
+            characters long, and comply with RFC1035. Specifically, it
+            must be 1-63 characters long and match the regular
+            expression ``[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?``.
         index (google.cloud.vectorsearch_v1beta.types.Index):
             Required. The resource being created
         request_id (str):