diff --git a/.github/workflows/ci_workflow.yml b/.github/workflows/ci_workflow.yml
index 9ca716d4..7fa2f3c2 100644
--- a/.github/workflows/ci_workflow.yml
+++ b/.github/workflows/ci_workflow.yml
@@ -36,7 +36,7 @@ jobs:
         pipx install poetry
     - name: Install dependencies
       run: |
-        poetry install
+        poetry install --all-extras
     - name: Run pytest
       run: |
         poetry run pytest --capture=no
diff --git a/README.md b/README.md
index a1b48c33..6fdffa7a 100644
--- a/README.md
+++ b/README.md
@@ -102,7 +102,7 @@ tap-carbon-intensity | target-postgres --config /path/to/target-postgres-config.
 
 ```bash
 pipx install poetry
-poetry install
+poetry install --all-extras
 pipx install pre-commit
 pre-commit install
 ```
@@ -152,6 +152,8 @@ develop your own Singer taps and targets.
 
 ## Data Types
 
+### Mapping
+
 The below table shows how this tap will map between jsonschema datatypes and Postgres datatypes.
 
 | jsonschema                     | Postgres                                |
@@ -202,7 +204,20 @@ The below table shows how this tap will map between jsonschema datatypes and Pos
 
 Note that while object types are mapped directly to jsonb, array types are mapped to a jsonb array.
 
-If a column has multiple jsonschema types, the following order is using to order Postgres types, from highest priority to lowest priority.
+When using [pgvector], this type mapping applies, additionally to the table above.
+
+| jsonschema                                     | Postgres |
+|------------------------------------------------|----------|
+| array (with additional SCHEMA annotations [1]) | vector   |
+
+[1] `"additionalProperties": {"storage": {"type": "vector", "dim": 4}}`
+
+### Resolution Order
+
+If a column has multiple jsonschema types, there is a priority list for
+resolving the best type candidate, from the highest priority to the
+lowest priority.
+
 - ARRAY(JSONB)
 - JSONB
 - TEXT
@@ -215,3 +230,9 @@ If a column has multiple jsonschema types, the following order is using to order
 - INTEGER
 - BOOLEAN
 - NOTYPE
+
+When using [pgvector], the `pgvector.sqlalchemy.Vector` type is added to the bottom
+of the list.
+
+
+[pgvector]: https://github.com/pgvector/pgvector
diff --git a/docker-compose.yml b/docker-compose.yml
index f2d453c4..a187f7c9 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -3,7 +3,7 @@
 version: "2.1"
 services:
   postgres:
-    image: docker.io/postgres:latest
+    image: ankane/pgvector:latest
     command: postgres -c ssl=on -c ssl_cert_file=/var/lib/postgresql/server.crt -c ssl_key_file=/var/lib/postgresql/server.key -c ssl_ca_file=/var/lib/postgresql/ca.crt -c hba_file=/var/lib/postgresql/pg_hba.conf
     environment:
       POSTGRES_USER: postgres
@@ -13,6 +13,7 @@ services:
       POSTGRES_INITDB_ARGS: --auth-host=cert
     # Not placed in the data directory (/var/lib/postgresql/data) because of https://gist.github.com/mrw34/c97bb03ea1054afb551886ffc8b63c3b?permalink_comment_id=2678568#gistcomment-2678568
     volumes:
+      - ./target_postgres/tests/init.sql:/docker-entrypoint-initdb.d/init.sql
       - ./ssl/server.crt:/var/lib/postgresql/server.crt # Certificate verifying the server's identity to the client.
       - ./ssl/server.key:/var/lib/postgresql/server.key # Private key to verify the server's certificate is legitimate.
       - ./ssl/ca.crt:/var/lib/postgresql/ca.crt # Certificate authority to use when verifying the client's identity to the server.
@@ -20,9 +21,11 @@ services:
     ports:
       - "5432:5432"
   postgres_no_ssl: # Borrowed from https://github.com/MeltanoLabs/tap-postgres/blob/main/.github/workflows/test.yml#L13-L23
-    image: docker.io/postgres:latest
+    image: ankane/pgvector:latest
     environment:
       POSTGRES_PASSWORD: postgres
+    volumes:
+      - ./target_postgres/tests/init.sql:/docker-entrypoint-initdb.d/init.sql
     ports:
       - 5433:5432
   ssh:
@@ -37,17 +40,20 @@ services:
       - PASSWORD_ACCESS=false
       - USER_NAME=melty
     volumes:
+      - ./target_postgres/tests/init.sql:/docker-entrypoint-initdb.d/init.sql
       - ./ssh_tunnel/ssh-server-config:/config/ssh_host_keys:ro
     ports:
       - "127.0.0.1:2223:2222"
     networks:
       - inner
   postgresdb:
-    image: postgres:13.0
+    image: ankane/pgvector:latest
     environment:
       POSTGRES_USER: postgres
       POSTGRES_PASSWORD: postgres
       POSTGRES_DB: main
+    volumes:
+      - ./target_postgres/tests/init.sql:/docker-entrypoint-initdb.d/init.sql
     networks:
       inner:
         ipv4_address: 10.5.0.5
diff --git a/poetry.lock b/poetry.lock
index e56bfda3..56854d0f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
 [[package]]
 name = "appdirs"
@@ -736,6 +736,43 @@ files = [
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
 ]
 
+[[package]]
+name = "numpy"
+version = "1.24.4"
+description = "Fundamental package for array computing in Python"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64"},
+    {file = "numpy-1.24.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1"},
+    {file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4"},
+    {file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6"},
+    {file = "numpy-1.24.4-cp310-cp310-win32.whl", hash = "sha256:4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc"},
+    {file = "numpy-1.24.4-cp310-cp310-win_amd64.whl", hash = "sha256:b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e"},
+    {file = "numpy-1.24.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810"},
+    {file = "numpy-1.24.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254"},
+    {file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7"},
+    {file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5"},
+    {file = "numpy-1.24.4-cp311-cp311-win32.whl", hash = "sha256:4979217d7de511a8d57f4b4b5b2b965f707768440c17cb70fbf254c4b225238d"},
+    {file = "numpy-1.24.4-cp311-cp311-win_amd64.whl", hash = "sha256:b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694"},
+    {file = "numpy-1.24.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1452241c290f3e2a312c137a9999cdbf63f78864d63c79039bda65ee86943f61"},
+    {file = "numpy-1.24.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f"},
+    {file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e"},
+    {file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc"},
+    {file = "numpy-1.24.4-cp38-cp38-win32.whl", hash = "sha256:4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2"},
+    {file = "numpy-1.24.4-cp38-cp38-win_amd64.whl", hash = "sha256:692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706"},
+    {file = "numpy-1.24.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2541312fbf09977f3b3ad449c4e5f4bb55d0dbf79226d7724211acc905049400"},
+    {file = "numpy-1.24.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9667575fb6d13c95f1b36aca12c5ee3356bf001b714fc354eb5465ce1609e62f"},
+    {file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3a86ed21e4f87050382c7bc96571755193c4c1392490744ac73d660e8f564a9"},
+    {file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d11efb4dbecbdf22508d55e48d9c8384db795e1b7b51ea735289ff96613ff74d"},
+    {file = "numpy-1.24.4-cp39-cp39-win32.whl", hash = "sha256:6620c0acd41dbcb368610bb2f4d83145674040025e5536954782467100aa8835"},
+    {file = "numpy-1.24.4-cp39-cp39-win_amd64.whl", hash = "sha256:befe2bf740fd8373cf56149a5c23a0f601e82869598d41f8e188a0e9869926f8"},
+    {file = "numpy-1.24.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:31f13e25b4e304632a4619d0e0777662c2ffea99fcae2029556b17d8ff958aef"},
+    {file = "numpy-1.24.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95f7ac6540e95bc440ad77f56e520da5bf877f87dca58bd095288dce8940532a"},
+    {file = "numpy-1.24.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:e98f220aa76ca2a977fe435f5b04d7b3470c0a2e6312907b37ba6068f26787f2"},
+    {file = "numpy-1.24.4.tar.gz", hash = "sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463"},
+]
+
 [[package]]
 name = "packaging"
 version = "23.2"
@@ -813,6 +850,19 @@ files = [
 python-dateutil = ">=2.6,<3.0"
 pytzdata = ">=2020.1"
 
+[[package]]
+name = "pgvector"
+version = "0.2.4"
+description = "pgvector support for Python"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "pgvector-0.2.4-py2.py3-none-any.whl", hash = "sha256:548e1f88d3c7433020c1c177feddad2f36915c262852d621f9018fcafff6870b"},
+]
+
+[package.dependencies]
+numpy = "*"
+
 [[package]]
 name = "pkgutil-resolve-name"
 version = "1.3.10"
@@ -898,7 +948,6 @@ files = [
     {file = "psycopg2_binary-2.9.9-cp311-cp311-win32.whl", hash = "sha256:dc4926288b2a3e9fd7b50dc6a1909a13bbdadfc67d93f3374d984e56f885579d"},
     {file = "psycopg2_binary-2.9.9-cp311-cp311-win_amd64.whl", hash = "sha256:b76bedd166805480ab069612119ea636f5ab8f8771e640ae103e05a4aae3e417"},
     {file = "psycopg2_binary-2.9.9-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:8532fd6e6e2dc57bcb3bc90b079c60de896d2128c5d9d6f24a63875a95a088cf"},
-    {file = "psycopg2_binary-2.9.9-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b0605eaed3eb239e87df0d5e3c6489daae3f7388d455d0c0b4df899519c6a38d"},
     {file = "psycopg2_binary-2.9.9-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f8544b092a29a6ddd72f3556a9fcf249ec412e10ad28be6a0c0d948924f2212"},
     {file = "psycopg2_binary-2.9.9-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2d423c8d8a3c82d08fe8af900ad5b613ce3632a1249fd6a223941d0735fce493"},
     {file = "psycopg2_binary-2.9.9-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2e5afae772c00980525f6d6ecf7cbca55676296b580c0e6abb407f15f3706996"},
@@ -907,8 +956,6 @@ files = [
     {file = "psycopg2_binary-2.9.9-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:cb16c65dcb648d0a43a2521f2f0a2300f40639f6f8c1ecbc662141e4e3e1ee07"},
     {file = "psycopg2_binary-2.9.9-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:911dda9c487075abd54e644ccdf5e5c16773470a6a5d3826fda76699410066fb"},
     {file = "psycopg2_binary-2.9.9-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:57fede879f08d23c85140a360c6a77709113efd1c993923c59fde17aa27599fe"},
-    {file = "psycopg2_binary-2.9.9-cp312-cp312-win32.whl", hash = "sha256:64cf30263844fa208851ebb13b0732ce674d8ec6a0c86a4e160495d299ba3c93"},
-    {file = "psycopg2_binary-2.9.9-cp312-cp312-win_amd64.whl", hash = "sha256:81ff62668af011f9a48787564ab7eded4e9fb17a4a6a74af5ffa6a457400d2ab"},
     {file = "psycopg2_binary-2.9.9-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:2293b001e319ab0d869d660a704942c9e2cce19745262a8aba2115ef41a0a42a"},
     {file = "psycopg2_binary-2.9.9-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:03ef7df18daf2c4c07e2695e8cfd5ee7f748a1d54d802330985a78d2a5a6dca9"},
     {file = "psycopg2_binary-2.9.9-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a602ea5aff39bb9fac6308e9c9d82b9a35c2bf288e184a816002c9fae930b77"},
@@ -1767,7 +1814,10 @@ files = [
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
+[extras]
+pgvector = ["pgvector"]
+
 [metadata]
 lock-version = "2.0"
 python-versions = "<3.12,>=3.8.1"
-content-hash = "aee5c5d02d31c400a67fb99db6497d4696b1c5de20c00fc20e1f1d13abae1319"
+content-hash = "8cefd8ad15e8f50b0f841f7ade76d529a2f112ff959109b2deb79e58db8fcc49"
diff --git a/pyproject.toml b/pyproject.toml
index 6c1d4e4b..2b595980 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -33,6 +33,7 @@ packages = [
 python = "<3.12,>=3.8.1"
 requests = "^2.25.1"
 singer-sdk = ">=0.28,<0.34"
+pgvector = { version="^0.2.4", optional = true }
 psycopg2-binary = "2.9.9"
 sqlalchemy = ">=2.0,<3.0"
 sshtunnel = "0.4.0"
@@ -50,11 +51,17 @@ types-simplejson = "^3.19.0.2"
 types-sqlalchemy = "^1.4.53.38"
 types-jsonschema = "^4.19.0.3"
 
+[tool.poetry.extras]
+pgvector = ["pgvector"]
+
 [tool.mypy]
 exclude = "tests"
 
 [[tool.mypy.overrides]]
-module = ["sshtunnel"]
+module = [
+    "pgvector.sqlalchemy",
+    "sshtunnel",
+]
 ignore_missing_imports = true
 
 [tool.isort]
diff --git a/target_postgres/connector.py b/target_postgres/connector.py
index 418f2e97..332549e3 100644
--- a/target_postgres/connector.py
+++ b/target_postgres/connector.py
@@ -114,6 +114,14 @@ def prepare_table(  # type: ignore[override]
                 connection=connection,
             )
             return table
+        # To make table reflection work properly with pgvector,
+        # the module needs to be imported beforehand.
+        try:
+            from pgvector.sqlalchemy import Vector  # noqa: F401
+        except ImportError:
+            self.logger.debug(
+                "Unable to handle pgvector's `Vector` type. Please install `pgvector`."
+            )
         meta.reflect(connection, only=[table_name])
         table = meta.tables[
             full_table_name
@@ -277,6 +285,51 @@ def pick_individual_type(jsonschema_type: dict):
         if "object" in jsonschema_type["type"]:
             return JSONB()
         if "array" in jsonschema_type["type"]:
+            # Select between different kinds of `ARRAY` data types.
+            #
+            # This currently leverages an unspecified definition for the Singer SCHEMA,
+            # using the `additionalProperties` attribute to convey additional type
+            # information, agnostic of the target database.
+            #
+            # In this case, it is about telling different kinds of `ARRAY` types apart:
+            # Either it is a vanilla `ARRAY`, to be stored into a `jsonb[]` type, or,
+            # alternatively, it can be a "vector" kind `ARRAY` of floating point
+            # numbers, effectively what pgvector is storing in its `VECTOR` type.
+            #
+            # Still, `type: "vector"` is only a surrogate label here, because other
+            # database systems may use different types for implementing the same thing,
+            # and need to translate accordingly.
+            """
+            Schema override rule in `meltano.yml`:
+
+            type: "array"
+            items:
+              type: "number"
+            additionalProperties:
+              storage:
+                type: "vector"
+                dim: 4
+
+            Produced schema annotation in `catalog.json`:
+
+            {"type": "array",
+             "items": {"type": "number"},
+             "additionalProperties": {"storage": {"type": "vector", "dim": 4}}}
+            """
+            if (
+                "additionalProperties" in jsonschema_type
+                and "storage" in jsonschema_type["additionalProperties"]
+            ):
+                storage_properties = jsonschema_type["additionalProperties"]["storage"]
+                if (
+                    "type" in storage_properties
+                    and storage_properties["type"] == "vector"
+                ):
+                    # On PostgreSQL/pgvector, use the corresponding type definition
+                    # from its SQLAlchemy dialect.
+                    from pgvector.sqlalchemy import Vector
+
+                    return Vector(storage_properties["dim"])
             return ARRAY(JSONB())
         if jsonschema_type.get("format") == "date-time":
             return TIMESTAMP()
@@ -310,6 +363,13 @@ def pick_best_sql_type(sql_type_array: list):
             NOTYPE,
         ]
 
+        try:
+            from pgvector.sqlalchemy import Vector
+
+            precedence_order.append(Vector)
+        except ImportError:
+            pass
+
         for sql_type in precedence_order:
             for obj in sql_type_array:
                 if isinstance(obj, sql_type):
@@ -516,7 +576,7 @@ def _adapt_column_type(  # type: ignore[override]
             return
 
         # Not the same type, generic type or compatible types
-        # calling merge_sql_types for assistnace
+        # calling merge_sql_types for assistance.
         compatible_sql_type = self.merge_sql_types([current_type, sql_type])
 
         if str(compatible_sql_type) == str(current_type):
diff --git a/target_postgres/tests/data_files/array_float_vector.singer b/target_postgres/tests/data_files/array_float_vector.singer
new file mode 100644
index 00000000..9f4cd04e
--- /dev/null
+++ b/target_postgres/tests/data_files/array_float_vector.singer
@@ -0,0 +1,5 @@
+{"type": "SCHEMA", "stream": "array_float_vector", "key_properties": ["id"], "schema": {"required": ["id"], "type": "object", "properties": {"id": {"type": "integer"}, "value": {"type": "array", "items": {"type": "number"}, "additionalProperties": {"storage": {"type": "vector", "dim": 4}}}}}}
+{"type": "RECORD", "stream": "array_float_vector", "record": {"id": 1, "value": [ 1.1, 2.1, 1.1, 1.3 ]}}
+{"type": "RECORD", "stream": "array_float_vector", "record": {"id": 2, "value": [ 1.0, 1.0, 1.0, 2.3 ]}}
+{"type": "RECORD", "stream": "array_float_vector", "record": {"id": 3, "value": [ 2.0, 1.2, 1.0, 0.9 ]}}
+{"type": "STATE", "value": {"array_float_vector": 3}}
diff --git a/target_postgres/tests/init.sql b/target_postgres/tests/init.sql
new file mode 100644
index 00000000..0aa0fc22
--- /dev/null
+++ b/target_postgres/tests/init.sql
@@ -0,0 +1 @@
+CREATE EXTENSION IF NOT EXISTS vector;
diff --git a/target_postgres/tests/test_target_postgres.py b/target_postgres/tests/test_target_postgres.py
index 7a78a3a3..fd6656aa 100644
--- a/target_postgres/tests/test_target_postgres.py
+++ b/target_postgres/tests/test_target_postgres.py
@@ -471,6 +471,26 @@ def test_array_boolean(postgres_target, helper):
     )
 
 
+def test_array_float_vector(postgres_target, helper):
+    pgvector_sa = pytest.importorskip("pgvector.sqlalchemy")
+
+    file_name = "array_float_vector.singer"
+    singer_file_to_target(file_name, postgres_target)
+    row = {
+        "id": 1,
+        "value": "[1.1,2.1,1.1,1.3]",
+    }
+    helper.verify_data("array_float_vector", 3, "id", row)
+
+    helper.verify_schema(
+        "array_float_vector",
+        check_columns={
+            "id": {"type": BIGINT},
+            "value": {"type": pgvector_sa.Vector},
+        },
+    )
+
+
 def test_array_number(postgres_target, helper):
     file_name = "array_number.singer"
     singer_file_to_target(file_name, postgres_target)
diff --git a/tox.ini b/tox.ini
index 0c287e8f..85c03b5a 100644
--- a/tox.ini
+++ b/tox.ini
@@ -9,7 +9,7 @@ isolated_build = true
 allowlist_externals = poetry
 
 commands =
-    poetry install -v
+    poetry install --all-extras -v
     poetry run pytest
     poetry run black --check target_postgres/
     poetry run flake8 target_postgres
@@ -21,14 +21,14 @@ commands =
 # To execute, run `tox -e pytest`
 envlist = py37, py38, py39
 commands =
-    poetry install -v
+    poetry install --all-extras -v
     poetry run pytest
 
 [testenv:format]
 # Attempt to auto-resolve lint errors before they are raised.
 # To execute, run `tox -e format`
 commands =
-    poetry install -v
+    poetry install --all-extras -v
     poetry run black target_postgres/
     poetry run isort target_postgres
 
@@ -36,7 +36,7 @@ commands =
 # Raise an error if lint and style standards are not met.
 # To execute, run `tox -e lint`
 commands =
-    poetry install -v
+    poetry install --all-extras -v
     poetry run black --check --diff target_postgres/
     poetry run isort --check target_postgres
     poetry run flake8 target_postgres