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PyPI · #2051 most downloaded on PyPI
Python SDK for Milvus
Last release 16 days ago
18 Sep 2026
Ships fairly regularly
a new release about every 2 weeks
Nearly every release is documented
notes for 60 of the last 60 stable releases
1 version withdrawn
withdrawn after publishing
7 years old
148 releases · first in 2019
Use Google-style docstrings for non-ORM APIs by @pymilvus-bot in #3749
membership_match syntax by @xiaofan-luan in #3802Full Changelog: v3.0.1...v3.0.2
One column per quarter.
…preserving ORM compatibility and aligning ORM deprecation warnings (#3707, #3709, #3714, #3718).
PyMilvus 3.0.1 is the recommended Python SDK release for Milvus 3.0.
Compatibility: PyMilvus 3.0.1 requires Python 3.9 or later. Python 3.8 is no longer supported.
DataType.TEXT handling across schema validation, result decoding, and BulkWriter paths (#3473).get_replicate_info() to MilvusClient and AsyncMilvusClient (#3516).dump_messages() support for data-salvage workflows (#3575).alter_role() and role-description output from describe_role() (#3608).group_by_fields (#3647).alter_collection_schema() and support dynamically adding struct fields (#3504, #3569).AlterCollectionSchema, retain a legacy AddCollectionField fallback only for servers returning UNIMPLEMENTED, and keep drop-function RPC behavior compatible (#3572, #3706).drop_function_field(), support MinHash function fields, and require bound index parameters when adding a function field
(#3600, #3630, #3672).CONNECT_FAILED and expose error classification through MilvusException
(#3590, #3618).target_size values (#3496, #3644).IndexError (#3698).auto_id primary-key DataFrame column during insert (#3678).uv, use Hatchling-backed version resolution, and retain the intended release-branch RC version semantics (#3529, #3534, #3634).Full Changelog: https://github.com/milvus-io/pymilvus/compare/v3.0.0...v3.0.1
## PyMilvus 3.0.0 for Milvus 3.0.0beta
Sync milvus-proto with Milvus v2.6.20 and regenerate Python protobuf bindings, including support for the inclusive DumpMessages start option (#3687).
milvus-proto with Milvus v2.6.20 and regenerate Python protobuf bindings, including support for the inclusive DumpMessages start option (#3687).auto_id primary-key DataFrame column during insert (source #3673; 2.6 #3677).target_size in compact() to be a positive integer (source #3642; 2.6 #3643; fixes #3169).vcs-versioning<2 semantics (source #3633; 2.6 #3635).Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.16...v2.6.17
Add element-level search support (source #3208; 2.6 #3491).
dump_messages support for data salvage (source #3573; 2.6 #3574).CONNECT_FAILED (source #3589; 2.6 #3591).Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.15...v2.6.16
Add get_replicate_info() to MilvusClient and AsyncMilvusClient for reading replication checkpoint state. #3509 by @bigsheeper, backported in #3515.
get_replicate_info() to MilvusClient and AsyncMilvusClient for reading replication checkpoint state. #3509 by @bigsheeper, backported in #3515.TypeCapability contract for shared type-specific operation bindings. #3531, backported in #3532.uv. #3512 by @zhuwenxing, backported in #3530.Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.14...v2.6.15
refactor: consolidate duplicated array element type mapping (#3401) by @pymilvus-bot in https://github.com/milvus-io/pymilvus/pull/3478
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.13...v2.6.14
Full Changelog: v2.6.13...v2.6.14
[Backport 2.6] feat: add ORM API deprecation warnings (#3467) by @pymilvus-bot in https://github.com/milvus-io/pymilvus/pull/3468
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.12...v2.6.13
Full Changelog: v2.6.12...v2.6.13
fix: default to port 443 for https:// URIs in MilvusClient (#3372, #3374) by @pymilvus-bot — reported by @XuanYang-cn in #3369
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.11...v2.6.12
fix: pass address to GrpcHandler in ConnectionManager strategies — fixed Milvus Lite local path broken since 2.6.10 (#3321, #3323) by @XuanYang-cn
raise ex from ex try/except blocks (#3341, #3351)Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.10...v2.6.11
feat: add global cluster client support
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.9...v2.6.10
fix: pass context to `describe_collection` in `SearchIteratorV2` (#3271) — Forward kwargs (including context carrying db_name) from SearchIteratorV2._
fix: pass context to describe_collection in SearchIteratorV2 (#3271) — Forward kwargs (including context carrying db_name) from SearchIteratorV2.__init__ to describe_collection, matching the existing QueryIterator pattern. Without this fix, SearchIteratorV2 always queries the default database, causing "can't find collection" errors for non-default databases.
fix: unpack _get_schema tuple return in _list_vector_indexes (#3275) — Fix tuple unpacking issue in _list_vector_indexes.
enhance: optimize gRPC keepalive defaults and support user-configurable grpc_options (#3258) — Improve gRPC keepalive defaults and allow users to configure gRPC channel options.
enhance: support warmup type params for FieldSchema (#3255) — Add warmup type parameter support in field schema definitions.
client/types.py, iterator utilities, orm/utility.py, request builder methods, client/abstract.py, decorators, and client/utils.py.Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.8...v2.6.9
Remove the usage of grpcio-testing
We would like to thank all contributors who made this release possible:
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.7...v2.6.8
Support async client list_persistent_segments
We would like to thank all contributors who made this release possible:
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.6...v2.6.7
1. Add comprehensive benchmarking framework
1. Add comprehensive benchmarking framework (#3151)
2. Add Function SDK support (#3080)
1. Change highlight query keyword (#3143)
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.5...2.6
Breaking change: Rename Stage to Volume by @lentitude2tk in https://github.com/milvus-io/pymilvus/pull/3091
1. Added comprehensive features to AsyncMilvusClient including: (#3108)
2. Enhanced error messages when AsyncMilvusClient fails to connect. (#3102)
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.4...v2.6.5
PyMilvus now supports the TIMESTAMPTZ data type, allowing you to store and query timestamps with time zone information. ```python from pymilvus import
PyMilvus now supports the TIMESTAMPTZ data type, allowing you to store and query timestamps with time zone information.
from pymilvus import MilvusClient, DataType
client = MilvusClient(uri="http://localhost:19530")
# 1. Define Schema with TimestampTZ
schema = MilvusClient.create_schema()
schema.add_field("id", DataType.INT64, is_primary=True)
schema.add_field("timestamp", DataType.TIMESTAMPTZ)
schema.add_field("vector", DataType.FLOAT_VECTOR, dim=128)
client.create_collection(collection_name="ts_collection", schema=schema)
# 2. Insert Data (using ISO 8601 format strings with timezone)
data = [
{"id": 1, "timestamp": "2025-01-01T12:00:00+00:00", "vector": [0.1] * 128},
{"id": 2, "timestamp": "2025-01-02T08:30:00-05:00", "vector": [0.2] * 128}
]
client.insert(collection_name="ts_collection", data=data)
# 3. Query Data
# Query records by ID to retrieve timestamps
res = client.query(
collection_name="ts_collection",
filter="id in [1, 2]",
output_fields=["id", "timestamp"]
)
print(res)
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.3...v2.6.4
PyMilvus now supports array of structs data types, allowing you to store and query complex nested data structures.
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+
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+
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+
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+
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")}])
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: https://github.com/milvus-io/pymilvus/compare/v2.6.2...v2.6.3
fix: Refine partial upsert to preserve unspecified fields (#2955) by @weiliu1031 in https://github.com/milvus-io/pymilvus/pull/2970
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.1...v2.6.2
Avoid describe_collection when query by ids by @yhmo in https://github.com/milvus-io/pymilvus/pull/2930
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.6.0...v2.6.1
enhance: Remove long deprecated Milvus class by @XuanYang-cn in https://github.com/milvus-io/pymilvus/pull/2544
db_name parameter at bulk_import by @counter2015 in https://github.com/milvus-io/pymilvus/pull/2446Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.0...v2.6.0
Nothing published for this version
[cherry-pick] Breaking change: Rename Stage to Volume by @lentitude2tk in https://github.com/milvus-io/pymilvus/pull/3111
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.17...v2.5.18
enhance: allow user insert pk when autoid is enabled by @sunby in https://github.com/milvus-io/pymilvus/pull/3006
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.16...v2.5.17
support geo data type for insert,query and search for pymilvus 2.5 by @Yinwei-Yu in https://github.com/milvus-io/pymilvus/pull/2943
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.15...v2.5.16
Compatible with the default behavior of free on the cloud by @lentitude2tk in https://github.com/milvus-io/pymilvus/pull/2912
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.14...v2.5.15
fix: Aviod coping functions when init CollectionSchema by @XuanYang-cn in https://github.com/milvus-io/pymilvus/pull/2903
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.13...v2.5.14
fix: Fix hybrid search params check by @xiaocai2333 in https://github.com/milvus-io/pymilvus/pull/2890
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.12...v2.5.13
fix: [2.5]add retry in compact for compatibility with old Milvus server in order to reduce describecollection by @JsDove in https://github.com/milvus-
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.11...V2.5.12
fix:[2.5] wrong marshal field schema prarams case alter collection failed by @aoiasd in https://github.com/milvus-io/pymilvus/pull/2811
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.10...v2.5.11
fix: load collection with resource group by @XuanYang-cn in https://github.com/milvus-io/pymilvus/pull/2801
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.9...v2.5.10
fix: Pass request-id in metadata per API (#2766) by @XuanYang-cn in https://github.com/milvus-io/pymilvus/pull/2779
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.8...v2.5.9
feat: [2.5] support run analyzer by @aoiasd in https://github.com/milvus-io/pymilvus/pull/2748
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.7...v2.5.8
fix: Remove deprecated numpy.bool8 by @XuanYang-cn in https://github.com/milvus-io/pymilvus/pull/2737
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.6...v2.5.7
fix: Remove field check in create_index (#2677) by @sunby in https://github.com/milvus-io/pymilvus/pull/2685
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.5...v2.5.6
enhance: Add schema update time verification to insert and upsert to use cache by @JsDove in https://github.com/milvus-io/pymilvus/pull/2596
db_name parameter at bulk_import (#2446) by @XuanYang-cn in https://github.com/milvus-io/pymilvus/pull/2666Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.4...v2.5.5
enhance: use trusted publisher and remove deprecated by @XuanYang-cn in https://github.com/milvus-io/pymilvus/pull/2548
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.3...v2.5.4
enhance: add search iterator v2 by @PwzXxm in https://github.com/milvus-io/pymilvus/pull/2524
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.2...v2.5.3
fix: [2.5] await conn.describe_collection in async client's query by @brcarry in https://github.com/milvus-io/pymilvus/pull/2502
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.1...v2.5.2
feat: asyncio support by @brcarry in https://github.com/milvus-io/pymilvus/pull/2459
Introducing the native asyncio client in PyMilvus: AsyncMilvusClient. While only a subset of APIs is currently supported, this marks a significant step forward for PyMilvus. Enjoy exploring it!
import asyncio
from pymilvus import MilvusClient, AsyncMilvusClient, DataType
async def main():
URI = "./milvus.db"
async_client = AsyncMilvusClient(uri=URI)
await async_client.create_collection("async_example", dimension=768)
await async_client.drop_collection("async_example")
await async_client.close()
if __name__ == "__main__":
asyncio.run(main())
authorization_interceptor and db_interceptor to async channel by @brcarry in https://github.com/milvus-io/pymilvus/pull/2473create_index and load_collection are fully completed by @brcarry in https://github.com/milvus-io/pymilvus/pull/2478Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.5.0...v2.5.1
Report cost in the dml and dql request by @SimFG in https://github.com/milvus-io/pymilvus/pull/2055
New features:
Enhancements
Bug fixes
New Contributors
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.0...v2.5.0
enhance: Add schema update time verification to insert and upsert to use cache by @JsDove in https://github.com/milvus-io/pymilvus/pull/2597
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.14...v2.4.15
enhance: use trusted publisher and remove deprecated by @XuanYang-cn in https://github.com/milvus-io/pymilvus/pull/2549
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.13...v2.4.14
fix: [2.4] await conn.describe_collection in async client's query by @brcarry in https://github.com/milvus-io/pymilvus/pull/2501
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.12...v2.4.13
fix: [2.4] RuntimeWarning: coroutine 'Channel.close' was never awaited when closing async client by @brcarry in https://github.com/milvus-io/pymilvus/
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.11...v2.4.12
feat: asyncio support by @brcarry in https://github.com/milvus-io/pymilvus/pull/2459
Introducing the native asyncio client in PyMilvus: AsyncMilvusClient. While only a subset of APIs is currently supported, this marks a significant step forward for PyMilvus. Enjoy exploring it!
import asyncio
from pymilvus import MilvusClient, AsyncMilvusClient, DataType
async def main():
URI = "./milvus.db"
async_client = AsyncMilvusClient(uri=URI)
await async_client.create_collection("async_example", dimension=768)
await async_client.drop_collection("async_example")
if __name__ == "__main__":
asyncio.run(main())
authorization_interceptor and db_interceptor to async channel by @brcarry in https://github.com/milvus-io/pymilvus/pull/2472create_index and load_collection are fully completed by @brcarry in https://github.com/milvus-io/pymilvus/pull/2477Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.10...v2.4.11
Corrected grammar and consistency in error messages (#2289) by @czs007 in https://github.com/milvus-io/pymilvus/pull/2330
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.9...v2.4.10
Improve embedding retrieval performance by @yhmo in https://github.com/milvus-io/pymilvus/pull/2290
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.8...v2.4.9
fix: upsert rows when set autoid==true fail(#2286) by @smellthemoon in https://github.com/milvus-io/pymilvus/pull/2287
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.7...v2.4.8
enhance: Make load parameter naming normal (#2243) by @congqixia in https://github.com/milvus-io/pymilvus/pull/2244
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.6...v2.4.7
Bulkinsert supports importing binlog by @yhmo in https://github.com/milvus-io/pymilvus/pull/2223
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.5...v2.4.6
feat: Support clustering compaction by @wayblink in https://github.com/milvus-io/pymilvus/pull/2220
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.4...v2.4.5
Allowing search iterator on sparse float vector field by @zhengbuqian in https://github.com/milvus-io/pymilvus/pull/2105
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.3...v2.4.4
support the report value in the dml and dql request by @SimFG in https://github.com/milvus-io/pymilvus/pull/2092
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.2...v2.4.3
Support milvuslite by @junjiejiangjjj in https://github.com/milvus-io/pymilvus/pull/2075
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.1...v2.4.2
Fix float16_example and bfloat16_example by @czs007 in https://github.com/milvus-io/pymilvus/pull/1993
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.4.0...v2.4.1
Milvus has released version 2.4.0-rc.1. This version of pymilvus incorporates the new features introduced in Milvus 2.4.0-rc.1
Milvus has released version 2.4.0-rc.1. This version of pymilvus incorporates the new features introduced in Milvus 2.4.0-rc.1
examples/example_gpu_cagra.pyexamples/hello_hybrid_sparse_dense.pyexamples/hello_sparse.pyexamples/example_group_by.pyexamples/inverted_index_example.py and examples/fuzzy_match.pyexamples/bfloat16_example.py and examples/float16_example.pyThe model library converts text to vectors using open-source embedding models and the OpenAI embedding service, accessible with
pip install pymilvus[model]
Additionally, it supports generating sparse vectors with BM25 and SPLADE, as well as both dense and sparse vectors simultaneously with BGE-M3. For detailed usage, please refer to examples/hello_model.py.
Furthermore, this version also includes the refactoring of MilvusClient that was introduced in version 2.3.7 (refer to pymilvus2.3.7). MilvusClient provides a simple and easy-to-use alternative to the ORM approach. It adopts a purely functional approach to simplify interactions with the server. Each MilvusClient establishes a gRPC connection to the server. To set up multiple connections, you can create multiple MilvusClient instances. MilvusClient module has integrated various functional methods, making its most of functionality align with that of the ORM module.
fix: rename_collection not apply in current db(#1959) by @smellthemoon in https://github.com/milvus-io/pymilvus/pull/1961
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.3.7...v2.3.8
MilvusClient provides a simple and easy-to-use alternative to the legacy ORM approach. It adopts a purely functional approach to simplify interactions
MilvusClient provides a simple and easy-to-use alternative to the legacy ORM approach. It adopts a purely functional approach to simplify interactions with the server. Each MilvusClient establishes a gRPC connection to the server you specified. To set up multiple connections, you can create multiple MilvusClient instances.
You can run the following command to install the latest PyMilvus or update your PyMilvus to this version.
pip install --upgrade pymilvus==v2.3.7
After the installation, you can check the pymilvus version by running the following
from pymilvus import __version__
print(__version__)
#v2.3.7
from pymilvus import MilvusClient
# Authentication not enabled
client = MilvusClient("http://localhost:19530")
# Authentication enabled with the root user
client = MilvusClient(
uri="http://localhost:19530",
token="root:Milvus",
db_name="default"
)
# Authentication enabled with a non-root user
client = MilvusClient(
uri="http://localhost:19530",
token="user:password", # replace this with your token
db_name="default"
)
In this version, PyMilvus adds a MilvusClient module that incorporates several functional methods, aligning its functionality overall with that of the legacy ORM module.
In addition to the documents, you can also refer to the example sets in our GitHub repo.
If you are having trouble or have questions about PyMilvus, ask your question on our PyMilvus Community Forum. Once you get an answer, it’d be great if you could work it back into this documentation and contribute!
We are committed to building a collaborative, exuberant open-source community for PyMilvus. Therefore, contributions to PyMilvus are welcome from everyone. Refer to Contributing Guideline before making contributions to this project. You can file an issue or contact us on Slack if you need any assistance or want to propose your ideas about PyMilvus.
Support python3.12 by @XuanYang-cn in https://github.com/milvus-io/pymilvus/pull/1861
Full Changelog: https://github.com/milvus-io/pymilvus/compare/v2.3.5...v2.3.6
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