Add embed to Index configure calls

pinecone/__init__.py

@@ -98,6 +98,11 @@
     "RestoreJobList": ("pinecone.db_control.models", "RestoreJobList"),
     "BackupModel": ("pinecone.db_control.models", "BackupModel"),
     "BackupList": ("pinecone.db_control.models", "BackupList"),
+    "ConfigureIndexEmbed": ("pinecone.db_control.types", "ConfigureIndexEmbed"),
+    "CreateIndexForModelEmbedTypedDict": (
+        "pinecone.db_control.types",
+        "CreateIndexForModelEmbedTypedDict",
+    ),
 }
 
 _config_lazy_imports = {

pinecone/__init__.pyi

@@ -78,6 +78,10 @@ from pinecone.db_control.models import (
     PodSpec,
     PodSpecDefinition,
 )
+from pinecone.db_control.types import (
+    ConfigureIndexEmbed,
+    CreateIndexForModelEmbedTypedDict,
+)
 from pinecone.pinecone import Pinecone
 from pinecone.pinecone_asyncio import PineconeAsyncio
 
@@ -160,4 +164,7 @@ __all__ = [
     "ServerlessSpecDefinition",
     "PodSpec",
     "PodSpecDefinition",
+    # Control plane types
+    "ConfigureIndexEmbed",
+    "CreateIndexForModelEmbedTypedDict",
 ]

pinecone/db_control/__init__.py

@@ -1,5 +1,6 @@
 from .enums import *
 from .models import *
+from .types import *
 from .db_control import DBControl
 from .db_control_asyncio import DBControlAsyncio
 from .repr_overrides import install_repr_overrides
@@ -30,6 +31,9 @@
     "BackupList",
     "RestoreJobModel",
     "RestoreJobList",
+    # from .types
+    "ConfigureIndexEmbed",
+    "CreateIndexForModelEmbedTypedDict",
     # direct imports
     "DBControl",
     "DBControlAsyncio",

pinecone/db_control/request_factory.py

@@ -19,6 +19,9 @@
 from pinecone.core.openapi.db_control.model.configure_index_request_spec_pod import (
     ConfigureIndexRequestSpecPod,
 )
+from pinecone.core.openapi.db_control.model.configure_index_request_embed import (
+    ConfigureIndexRequestEmbed,
+)
 from pinecone.core.openapi.db_control.model.deletion_protection import (
     DeletionProtection as DeletionProtectionModel,
 )
@@ -45,7 +48,7 @@
     GcpRegion,
     AzureRegion,
 )
-from .types import CreateIndexForModelEmbedTypedDict
+from .types import CreateIndexForModelEmbedTypedDict, ConfigureIndexEmbed
 
 
 logger = logging.getLogger(__name__)
@@ -241,6 +244,7 @@ def configure_index_request(
         pod_type: Optional[Union[PodType, str]] = None,
         deletion_protection: Optional[Union[DeletionProtection, str]] = None,
         tags: Optional[Dict[str, str]] = None,
+        embed: Optional[Union[ConfigureIndexEmbed, Dict]] = None,
     ):
         if deletion_protection is None:
             dp = DeletionProtectionModel(description.deletion_protection)
@@ -271,13 +275,24 @@ def configure_index_request(
         if replicas:
             pod_config_args.update(replicas=replicas)
 
-        if pod_config_args != {}:
+        embed_config = None
+        if embed is not None:
+            embed_config = ConfigureIndexRequestEmbed(**dict(embed))
+
+        spec = None
+        if pod_config_args:
             spec = ConfigureIndexRequestSpec(pod=ConfigureIndexRequestSpecPod(**pod_config_args))
-            req = ConfigureIndexRequest(deletion_protection=dp, spec=spec, tags=IndexTags(**tags))
-        else:
-            req = ConfigureIndexRequest(deletion_protection=dp, tags=IndexTags(**tags))
 
-        return req
+        args_dict = parse_non_empty_args(
+            [
+                ("deletion_protection", dp),
+                ("tags", IndexTags(**tags)),
+                ("spec", spec),
+                ("embed", embed_config),
+            ]
+        )
+
+        return ConfigureIndexRequest(**args_dict)
 
     @staticmethod
     def create_collection_request(name: str, source: str) -> CreateCollectionRequest:

pinecone/db_control/resources/asyncio/index.py

@@ -27,6 +27,7 @@
 from pinecone.db_control.request_factory import PineconeDBControlRequestFactory
 from pinecone.core.openapi.db_control import API_VERSION
 from pinecone.utils import require_kwargs
+from pinecone.db_control.types.configure_index_embed import ConfigureIndexEmbed
 
 logger = logging.getLogger(__name__)
 """ :meta private: """
@@ -183,6 +184,7 @@ async def configure(
         pod_type: Optional[Union[PodType, str]] = None,
         deletion_protection: Optional[Union[DeletionProtection, str]] = None,
         tags: Optional[Dict[str, str]] = None,
+        embed: Optional[Union[ConfigureIndexEmbed, Dict]] = None,
     ):
         description = await self.describe(name=name)
 
@@ -192,5 +194,6 @@ async def configure(
             pod_type=pod_type,
             deletion_protection=deletion_protection,
             tags=tags,
+            embed=embed,
         )
         await self._index_api.configure_index(name, configure_index_request=req)

pinecone/db_control/resources/sync/index.py

@@ -10,6 +10,7 @@
 from pinecone.db_control.types import CreateIndexForModelEmbedTypedDict
 from pinecone.db_control.request_factory import PineconeDBControlRequestFactory
 from pinecone.core.openapi.db_control import API_VERSION
+from pinecone.db_control.types.configure_index_embed import ConfigureIndexEmbed
 
 logger = logging.getLogger(__name__)
 """ :meta private: """
@@ -224,6 +225,7 @@ def configure(
         pod_type: Optional[Union["PodType", str]] = None,
         deletion_protection: Optional[Union["DeletionProtection", str]] = None,
         tags: Optional[Dict[str, str]] = None,
+        embed: Optional[Union["ConfigureIndexEmbed", Dict]] = None,
     ) -> None:
         api_instance = self._index_api
         description = self.describe(name=name)
@@ -234,6 +236,7 @@ def configure(
             pod_type=pod_type,
             deletion_protection=deletion_protection,
             tags=tags,
+            embed=embed,
         )
         api_instance.configure_index(name, configure_index_request=req)
 

pinecone/db_control/types/__init__.py

@@ -1,3 +1,4 @@
 from .create_index_for_model_embed import CreateIndexForModelEmbedTypedDict
+from .configure_index_embed import ConfigureIndexEmbed
 
-__all__ = ["CreateIndexForModelEmbedTypedDict"]
+__all__ = ["CreateIndexForModelEmbedTypedDict", "ConfigureIndexEmbed"]

pinecone/db_control/types/configure_index_embed.py

@@ -0,0 +1,8 @@
+from typing import TypedDict, Dict, Any, Optional
+
+
+class ConfigureIndexEmbed(TypedDict):
+    model: str
+    field_map: Dict[str, str]
+    read_parameters: Optional[Dict[str, Any]]
+    write_parameters: Optional[Dict[str, Any]]

pinecone/legacy_pinecone_interface.py

@@ -26,7 +26,7 @@
         GcpRegion,
         AzureRegion,
     )
-    from pinecone.db_control.types import CreateIndexForModelEmbedTypedDict
+    from pinecone.db_control.types import CreateIndexForModelEmbedTypedDict, ConfigureIndexEmbed
 
 
 class LegacyPineconeDBControlInterface(ABC):
@@ -438,6 +438,7 @@ def configure_index(
         pod_type: Optional[Union["PodType", str]] = None,
         deletion_protection: Optional[Union["DeletionProtection", str]] = None,
         tags: Optional[Dict[str, str]] = None,
+        embed: Optional[Union["ConfigureIndexEmbed", Dict]] = None,
     ):
         """
         :param name: the name of the Index
@@ -452,6 +453,10 @@ def configure_index(
         :type deletion_protection: str or DeletionProtection, optional
         :param tags: A dictionary of tags to apply to the index. Tags are key-value pairs that can be used to organize and manage indexes. To remove a tag, set the value to "". Tags passed to configure_index will be merged with existing tags and any with the value empty string will be removed.
         :type tags: Dict[str, str], optional
+        :param embed: configures the integrated inference embedding settings for the index. You can convert an existing index to an integrated index by specifying the embedding model and field_map.
+            The index vector type and dimension must match the model vector type and dimension, and the index similarity metric must be supported by the model.
+            You can later change the embedding configuration to update the field_map, read_parameters, or write_parameters. Once set, the model cannot be changed.
+        :type embed: Optional[Union[ConfigureIndexEmbed, Dict]], optional
 
         This method is used to modify an index's configuration. It can be used to:
 

pinecone/pinecone.py

@@ -18,7 +18,7 @@
     from pinecone.db_data import _Index as Index, _IndexAsyncio as IndexAsyncio
     from pinecone.db_control.index_host_store import IndexHostStore
     from pinecone.core.openapi.db_control.api.manage_indexes_api import ManageIndexesApi
-    from pinecone.db_control.types import CreateIndexForModelEmbedTypedDict
+    from pinecone.db_control.types import CreateIndexForModelEmbedTypedDict, ConfigureIndexEmbed
     from pinecone.db_control.enums import (
         Metric,
         VectorType,
@@ -399,13 +399,15 @@ def configure_index(
         pod_type: Optional[Union["PodType", str]] = None,
         deletion_protection: Optional[Union["DeletionProtection", str]] = None,
         tags: Optional[Dict[str, str]] = None,
+        embed: Optional[Union["ConfigureIndexEmbed", Dict]] = None,
     ):
         return self.db.index.configure(
             name=name,
             replicas=replicas,
             pod_type=pod_type,
             deletion_protection=deletion_protection,
             tags=tags,
+            embed=embed,
         )
 
     def create_collection(self, name: str, source: str) -> None:

pinecone/pinecone_asyncio.py

@@ -10,7 +10,7 @@
 from .pinecone import check_realistic_host
 
 if TYPE_CHECKING:
-    from pinecone.db_control.types import CreateIndexForModelEmbedTypedDict
+    from pinecone.db_control.types import ConfigureIndexEmbed, CreateIndexForModelEmbedTypedDict
     from pinecone.db_data import _IndexAsyncio
     from pinecone.db_control.enums import (
         Metric,
@@ -273,13 +273,15 @@ async def configure_index(
         pod_type: Optional[Union["PodType", str]] = None,
         deletion_protection: Optional[Union["DeletionProtection", str]] = None,
         tags: Optional[Dict[str, str]] = None,
+        embed: Optional[Union["ConfigureIndexEmbed", Dict]] = None,
     ):
         return await self.db.index.configure(
             name=name,
             replicas=replicas,
             pod_type=pod_type,
             deletion_protection=deletion_protection,
             tags=tags,
+            embed=embed,
         )
 
     async def create_collection(self, name: str, source: str):

pinecone/pinecone_interface_asyncio.py

@@ -30,7 +30,7 @@
         GcpRegion,
         AzureRegion,
     )
-    from pinecone.db_control.types import CreateIndexForModelEmbedTypedDict
+    from pinecone.db_control.types import ConfigureIndexEmbed, CreateIndexForModelEmbedTypedDict
 
 
 class PineconeAsyncioDBControlInterface(ABC):
@@ -711,6 +711,7 @@ async def configure_index(
         pod_type: Optional[Union["PodType", str]] = None,
         deletion_protection: Optional[Union["DeletionProtection", str]] = None,
         tags: Optional[Dict[str, str]] = None,
+        embed: Optional[Union["ConfigureIndexEmbed", Dict]] = None,
     ):
         """
         :param: name: the name of the Index
@@ -719,6 +720,10 @@ async def configure_index(
             available pod types, please see `Understanding Indexes <https://docs.pinecone.io/docs/indexes>`_
         :param: deletion_protection: If set to 'enabled', the index cannot be deleted. If 'disabled', the index can be deleted.
         :param: tags: A dictionary of tags to apply to the index. Tags are key-value pairs that can be used to organize and manage indexes. To remove a tag, set the value to "". Tags passed to configure_index will be merged with existing tags and any with the value empty string will be removed.
+        :param embed: configures the integrated inference embedding settings for the index. You can convert an existing index to an integrated index by specifying the embedding model and field_map.
+            The index vector type and dimension must match the model vector type and dimension, and the index similarity metric must be supported by the model.
+            You can later change the embedding configuration to update the field_map, read_parameters, or write_parameters. Once set, the model cannot be changed.
+        :type embed: Optional[Union[ConfigureIndexEmbed, Dict]], optional
 
         This method is used to modify an index's configuration. It can be used to:
 

pyproject.toml

@@ -166,3 +166,7 @@ docstring-code-line-length = "dynamic"
 
 # E712 Allow == comparison to True/False
 "tests/**" = ["E712"]
+
+[tool.black]
+line-length = 100
+target-version = ["py39"]

tests/integration/control/resources/index/test_configure.py

@@ -41,3 +41,30 @@ def test_remove_multiple_tags(self, pc, ready_sl_index):
         assert found_tags is not None
         assert found_tags.get("foo", None) is None, "foo should be removed"
         assert found_tags.get("bar", None) is None, "bar should be removed"
+
+    def test_configure_index_embed(self, pc, create_index_params):
+        name = create_index_params["name"]
+        create_index_params["dimension"] = 1024
+        pc.db.index.create(**create_index_params)
+        desc = pc.db.index.describe(name=name)
+        assert desc.embed is None
+
+        embed_config = {
+            "model": "multilingual-e5-large",
+            "field_map": {"text": "chunk_text"},
+        }
+        pc.db.index.configure(name=name, embed=embed_config)
+
+        desc = pc.db.index.describe(name=name)
+        assert desc.embed.model == "multilingual-e5-large"
+        assert desc.embed.field_map == {"text": "chunk_text"}
+        assert desc.embed.read_parameters == {"input_type": "query", "truncate": "END"}
+        assert desc.embed.write_parameters == {
+            "input_type": "passage",
+            "truncate": "END",
+        }
+        assert desc.embed.vector_type == "dense"
+        assert desc.embed.dimension == 1024
+        assert desc.embed.metric == "cosine"
+
+        pc.db.index.delete(name=name)

tests/integration/control/serverless/test_configure_index_embed.py

@@ -0,0 +1,27 @@
+class TestConfigureIndexEmbed:
+    def test_convert_index_to_integrated(self, client, create_sl_index_params):
+        name = create_sl_index_params["name"]
+        create_sl_index_params["dimension"] = 1024
+        client.create_index(**create_sl_index_params)
+        desc = client.describe_index(name)
+        assert desc.embed is None
+
+        embed_config = {
+            "model": "multilingual-e5-large",
+            "field_map": {"text": "chunk_text"},
+        }
+        client.configure_index(name, embed=embed_config)
+
+        desc = client.describe_index(name)
+        assert desc.embed.model == "multilingual-e5-large"
+        assert desc.embed.field_map == {"text": "chunk_text"}
+        assert desc.embed.read_parameters == {"input_type": "query", "truncate": "END"}
+        assert desc.embed.write_parameters == {
+            "input_type": "passage",
+            "truncate": "END",
+        }
+        assert desc.embed.vector_type == "dense"
+        assert desc.embed.dimension == 1024
+        assert desc.embed.metric == "cosine"
+
+        client.delete_index(name)

tests/integration/control_asyncio/test_configure_index_embed.py

@@ -0,0 +1,31 @@
+from pinecone import PineconeAsyncio
+
+
+class TestConfigureIndexEmbed:
+    async def test_convert_index_to_integrated(self, create_sl_index_params):
+        pc = PineconeAsyncio()
+        name = create_sl_index_params["name"]
+        create_sl_index_params["dimension"] = 1024
+        await pc.create_index(**create_sl_index_params)
+        desc = await pc.describe_index(name)
+        assert desc.embed is None
+
+        embed_config = {
+            "model": "multilingual-e5-large",
+            "field_map": {"text": "chunk_text"},
+        }
+        await pc.configure_index(name, embed=embed_config)
+
+        desc = await pc.describe_index(name)
+        assert desc.embed.model == "multilingual-e5-large"
+        assert desc.embed.field_map == {"text": "chunk_text"}
+        assert desc.embed.read_parameters == {"input_type": "query", "truncate": "END"}
+        assert desc.embed.write_parameters == {
+            "input_type": "passage",
+            "truncate": "END",
+        }
+        assert desc.embed.vector_type == "dense"
+        assert desc.embed.dimension == 1024
+        assert desc.embed.metric == "cosine"
+
+        await pc.delete_index(name)