chore(deps): update samples-migrations

[renovate-bot]

This PR contains the following updates:

Package	Change	Age	Confidence
langchain-chroma (source, changelog)	==0.2.5 -> ==0.2.6
langchain-core (source, changelog)	==0.3.74 -> ==0.3.79
langchain-google-alloydb-pg (changelog)	==0.12.0 -> ==0.13.0
langchain-milvus (changelog)	==0.2.1 -> ==0.3.0
langchain-pinecone (changelog)	==0.2.3 -> ==0.2.13
langchain-qdrant (source, changelog)	==0.2.0 -> ==0.2.1
langchain-weaviate	==0.0.5 -> ==0.0.6
pymilvus	==2.6.0 -> ==2.6.3
pytest (changelog)	==8.4.1 -> ==8.4.2
weaviate-client	==4.16.7 -> ==4.18.0

---

Release Notes

googleapis/langchain-google-alloydb-pg-python (langchain-google-alloydb-pg)

v0.13.0

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⚠ BREAKING CHANGES

• Refactor AlloyDBVectorStore and AlloyDBEngine to depend on PGVectorstore and PGEngine respectively (#​434)

Documentation

• Add hybrid search documentation (#​457) (185b5b8)

milvus-io/pymilvus (pymilvus)

v2.6.3: PyMilvus v2.6.3 Release Notes

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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.

from pymilvus import MilvusClient, DataType

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

schema = MilvusClient.create_schema()
schema.add_field(field_name="id", datatype=DataType.INT64, is_primary=True)
schema.add_field(field_name="location", datatype=DataType.GEOMETRY, nullable=True)
schema.add_field(field_name="vector", datatype=DataType.FLOAT_VECTOR, dim=128)

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

data = [
    {"id": 1, "location": "POINT(116.404 39.915)", "vector": [0.1] * 128},
    {"id": 2, "location": "POINT(-73.935 40.730)", "vector": [0.2] * 128}
]
client.insert(collection_name="locations", data=data)

results = client.query(
    collection_name="locations",
    filter=f'st_dwithin(location, "POINT(116.4 39.9)", 1000.0)',
    output_fields=["id", "location"]
)

📖 Documentation Geometry field, Compatible with Milvus 2.6.4+

3. Insert Primary Key with Auto ID Enabled

You can now insert custom primary keys even when auto_id is enabled, providing more flexibility in data management.

from pymilvus import MilvusClient, DataType

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

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

client.create_collection(collection_name="my_collection", schema=schema, properties={"allow_insert_auto_id": "true"})

data = [
    {"id": 100, "vector": [0.1] * 128},
    {"id": 200, "vector": [0.2] * 128}
]
client.insert(collection_name="my_collection", data=data)

📖 Documentation Insert when AutoID is true, Compatible with Milvus 2.6.3+

4. L0 Compaction Support

Trigger L0 compaction manually to optimize storage and query performance.

from pymilvus import MilvusClient

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

client.compact(collection_name="my_collection", is_l0=True)

📖 Documentation Compact L0 segments, Compatible with Milvus 2.6.3+

5. ⚠️ Breaking Change: JSON Serialization for Strings

String values are now treated as JSON-serialized bytes. This is incompatible with previous versions.

Before (2.6.2 and earlier):

client.insert(collection_name="my_collection", data=[{"id": 1, "json_field": "a"}])

Now (2.6.3+):

import json

client.insert(collection_name="my_collection", data=[{"id": 1, "json_field": json.dumps("a")}])

Complete Change Log

Features

• Struct Support: SDK implementation for struct data type with field-level mmap configuration (#​3026, #​3037)
• Geo Data Type: Support for geographic data in insert, query, and search operations (#​3043)
• L0 Compaction: Force L0 compact support (#​3011)
• Function Scorer Ranker: Support using function scorer as ranker (#​3010)
• Replicate Configuration: UpdateReplicateConfiguration API support (#​3003)

Enhancements

• Async Client Improvements: Added retry mechanism and schema cache for AsyncMilvusClient (#​3023)
• Allow user to insert primary key when auto_id is enabled (#​3007)
• Update get_cost_from_status implementation (#​3000)
• Enhanced remote storage usage result info (#​3014)
• Remove annoying logs in MilvusClient (#​3016)
• Raise error when ranker has unknown type (#​3021)
• Support insert serialized JSON (#​3031)
• Cherry pick multiple PRs from master branch (#​3048)

Bug Fixes

• Fix hybrid_search to support EmbeddingList in request data (#​3028)

Documentation

• Add apiKey note for bulk_import (#​2997)

Contributors

Special thanks to all contributors who made this release possible:
@​SpadeA-Tang, @​XuanYang-cn, @​aoiasd, @​bigsheeper, @​chasingegg, @​lentitude2tk, @​MrPresent-Han, @​sunby, @​xiaocai2333, @​zhuwenxing

---

For more information, visit the PyMilvus GitHub repository.
Full Changelog: milvus-io/pymilvus@v2.6.2...v2.6.3

v2.6.2: PyMilvus v2.6.2 Release Notes

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What's Changed

• fix: Refine partial upsert to preserve unspecified fields (#​2955) by @​weiliu1031 in #​2970
• fix: Correct validation logic for partial upsert requests (#​2974) by @​weiliu1031 in #​2977
• feat: support group by json field(#​2884) by @​MrPresent-Han in #​2980
• enhance: [2.6]Run actions when push to repo to enable cov compare by @​XuanYang-cn in #​2969
• support connectType if use oss-bucket by @​lentitude2tk in #​2988
• enhance: Sync PyMilvus milvus-proto commit to v2.6.2 by @​XuanYang-cn in #​2995

Full Changelog: milvus-io/pymilvus@v2.6.1...v2.6.2

v2.6.1: PyMilvus v2.6.1 Release Notes

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What's Changed

• Avoid describe_collection when query by ids by @​yhmo in #​2930
• bulkImport add objectUrls/token paramster & add example use by @​lentitude2tk in #​2934
• support stageManager & stageFileManager by @​lentitude2tk in #​2935
• fix: Fix the existing version fmt by @​XuanYang-cn in #​2960
• enhance: Add unixmsec in every RPC call by @​XuanYang-cn in #​2961
• enhance: Multiple cherry picks from master branch by @​XuanYang-cn in #​2962
• fix: Passing unknown req.is_refresh to wait by @​XuanYang-cn in #​2964

Full Changelog: milvus-io/pymilvus@v2.6.0...v2.6.1

pytest-dev/pytest (pytest)

v8.4.2

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pytest 8.4.2 (2025-09-03)

Bug fixes

• #​13478: Fixed a crash when using console_output_style{.interpreted-text role="confval"} with times and a module is skipped.

• #​13530: Fixed a crash when using pytest.approx{.interpreted-text role="func"} and decimal.Decimal{.interpreted-text role="class"} instances with the decimal.FloatOperation{.interpreted-text role="class"} trap set.

• #​13549: No longer evaluate type annotations in Python 3.14 when inspecting function signatures.

  This prevents crashes during module collection when modules do not explicitly use from __future__ import annotations and import types for annotations within a if TYPE_CHECKING: block.

• #​13559: Added missing [int]{.title-ref} and [float]{.title-ref} variants to the [Literal]{.title-ref} type annotation of the [type]{.title-ref} parameter in pytest.Parser.addini{.interpreted-text role="meth"}.

• #​13563: pytest.approx{.interpreted-text role="func"} now only imports numpy if NumPy is already in sys.modules. This fixes unconditional import behavior introduced in [8.4.0]{.title-ref}.

Improved documentation

• #​13577: Clarify that pytest_generate_tests is discovered in test modules/classes; other hooks must be in conftest.py or plugins.

Contributor-facing changes

• #​13480: Self-testing: fixed a few test failures when run with -Wdefault or a similar override.
• #​13547: Self-testing: corrected expected message for test_doctest_unexpected_exception in Python 3.14.
• #​13684: Make pytest's own testsuite insensitive to the presence of the CI environment variable -- by ogrisel{.interpreted-text role="user"}.

weaviate/weaviate-python-client (weaviate-client)

v4.18.0

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v4.17.0

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What's Changed

• Remove support for old weaviate versions <1.27.0 by @​dirkkul in #​1792
• Add uncompressed quantitizer factory by @​dirkkul in #​1800
• Add support for groups by @​dirkkul in #​1778
• feat: add Not and ContainsNone operators by @​bevzzz in #​1809
• feat: add overwrite_alias to backup restore by @​bevzzz in #​1808
• Remove azure docker compose file by @​dirkkul in #​1814
• Add Multi2vec-aws and text2vec-morph by @​dirkkul in #​1820
• Add max token to AWS generative module by @​dirkkul in #​1819
• Add support for exists on aliases. by @​jfrancoa in #​1813
• Add note re GPT4All deprecation by @​databyjp in #​1825
• Update setup.cfg with min weaviate agents version by @​cdpierse in #​1826
• remove erroneous type alias by @​databyjp in #​1830
• Add jina-embeddings-v4 support by @​MaskyS in #​1833
• Add reasoning and verbosity to generative openai by @​dirkkul in #​1827

New Contributors

• @​bevzzz made their first contribution in #​1809
• @​MaskyS made their first contribution in #​1833

Full Changelog: weaviate/weaviate-python-client@v4.16.9...v4.17.0

v4.16.10

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What's Changed

• Add uncompressed quantitizer factory by @​dirkkul in #​1800
• Add support for groups by @​dirkkul in #​1778
• feat: add overwrite_alias to backup restore by @​bevzzz in #​1808
• Add Multi2vec-aws and text2vec-morph by @​dirkkul in #​1820
• Add support for exists on aliases. by @​jfrancoa in #​1813
• Add note re GPT4All deprecation by @​databyjp in #​1825
• Update setup.cfg with min weaviate agents version by @​cdpierse in #​1826

Full Changelog: weaviate/weaviate-python-client@v4.16.9...v4.16.10

v4.16.9

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What's Changed

• Deprecate broken method by @​dirkkul in #​1795
• Improve user create docstring by @​dirkkul in #​1796
• Fixup dependencies for package test by @​dirkkul in #​1791

Full Changelog: weaviate/weaviate-python-client@v4.16.8...v4.16.9

v4.16.8

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What's Changed

• Add backup list endpoint by @​dirkkul in #​1785
• Attempt further fix of protobuf runtime stub incompatibilities by @​tsmith023 in #​1788

Full Changelog: weaviate/weaviate-python-client@v4.16.7...v4.16.8

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[anubhav756]

@dishaprakash Do we have a preference for dep versions?

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[anubhav756]

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