diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..baa3640
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,180 @@
+# Created by https://www.toptal.com/developers/gitignore/api/python
+# Edit at https://www.toptal.com/developers/gitignore?templates=python
+\#*
+
+scratch.py
+notes.org
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+### Python Patch ###
+# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
+poetry.toml
+
+# ruff
+.ruff_cache/
+
+# LSP config files
+pyrightconfig.json
+
+# End of https://www.toptal.com/developers/gitignore/api/python
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new file mode 100644
index 0000000..e69de29
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..7660003
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+
+[[package]]
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+optional = false
+python-versions = ">=3.8"
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diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..c2d28c5
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,28 @@
+[tool.poetry]
+name = "sparql-fastapi"
+version = "0.1.0"
+description = ""
+authors = ["Your Name <you@example.com>"]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.12"
+sparqlwrapper = "^2.0.0"
+toolz = "^0.12.1"
+pydantic = "^2.8.2"
+
+
+[tool.poetry.group.dev.dependencies]
+ruff = "^0.5.4"
+deptry = "^0.17.0"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
+
+
+[tool.ruff]
+lint.ignore = ["F401"]
+
+[tool.deptry.package_module_name_map]
+sparqlwrapper = "SPARQLWrapper"
\ No newline at end of file
diff --git a/sparql_fastapi/__init__.py b/sparql_fastapi/__init__.py
new file mode 100644
index 0000000..00f3d28
--- /dev/null
+++ b/sparql_fastapi/__init__.py
@@ -0,0 +1 @@
+from sparql_fastapi.adapter import SPARQLModelAdapter
diff --git a/sparql_fastapi/adapter.py b/sparql_fastapi/adapter.py
new file mode 100644
index 0000000..ce67dec
--- /dev/null
+++ b/sparql_fastapi/adapter.py
@@ -0,0 +1,43 @@
+"""SPARQLModelAdapter class for QueryResult to Pydantic model conversions."""
+
+from collections.abc import Sequence
+
+from SPARQLWrapper import JSON, QueryResult, SPARQLWrapper
+from pydantic import BaseModel
+from sparql_fastapi.utils._types import _TModelConstructorCallable
+from sparql_fastapi.utils.utils import (
+    get_bindings_from_query_result,
+    instantiate_model_from_kwargs,
+)
+
+
+class SPARQLModelAdapter[ModelType: BaseModel]:
+    """Adapter/Mapper for QueryResult to Pydantic model conversions."""
+
+    def __init__(self, sparql_wrapper: SPARQLWrapper) -> None:
+        self.sparql_wrapper = sparql_wrapper
+
+        if self.sparql_wrapper.returnFormat != "json":
+            self.sparql_wrapper.setReturnFormat(JSON)
+
+    def __call__(self, query: str, model_constructor) -> Sequence[ModelType]:
+        self.sparql_wrapper.setQuery(query)
+        query_result: QueryResult = self.sparql_wrapper.query()
+
+        if isinstance(model_constructor, type(BaseModel)):
+            bindings = get_bindings_from_query_result(query_result)
+            models: list[ModelType] = [
+                instantiate_model_from_kwargs(model_constructor, **binding)
+                for binding in bindings
+            ]
+
+        elif isinstance(model_constructor, _TModelConstructorCallable):
+            models: list[ModelType] = model_constructor(query_result)
+
+        else:
+            raise TypeError(
+                "Argument 'model_constructor' must be a model class "
+                "or a model constructor callable."
+            )
+
+        return models
diff --git a/sparql_fastapi/utils/_types.py b/sparql_fastapi/utils/_types.py
new file mode 100644
index 0000000..262b1a5
--- /dev/null
+++ b/sparql_fastapi/utils/_types.py
@@ -0,0 +1,17 @@
+"""Type definitions for sparql_fastapi."""
+
+from typing import Annotated, Protocol, TypeVar, runtime_checkable
+
+from pydantic import BaseModel
+
+
+_TModelInstance: Annotated[TypeVar, "Type defintion for Pydantic model instances."] = (
+    TypeVar("_TModelInstance", bound=BaseModel)
+)
+
+
+@runtime_checkable
+class _TModelConstructorCallable[ModelType: BaseModel](Protocol):
+    """Callback protocol for model constructor callables."""
+
+    def __call__(self, **kwargs) -> ModelType: ...
diff --git a/sparql_fastapi/utils/utils.py b/sparql_fastapi/utils/utils.py
new file mode 100644
index 0000000..a9d1862
--- /dev/null
+++ b/sparql_fastapi/utils/utils.py
@@ -0,0 +1,66 @@
+"""SPARQL/FastAPI utils."""
+
+from collections.abc import Iterator, Mapping
+from typing import cast
+
+from SPARQLWrapper import QueryResult
+from pydantic import BaseModel
+from toolz import valmap
+
+
+def get_bindings_from_query_result(query_result: QueryResult) -> Iterator[dict]:
+    """Extract just the bindings from a SPARQLWrapper.QueryResult."""
+    query_json = cast(Mapping, query_result.convert())
+    bindings = map(
+        lambda binding: valmap(lambda v: v["value"], binding),
+        query_json["results"]["bindings"],
+    )
+
+    return bindings
+
+
+def instantiate_model_from_kwargs[ModelType: BaseModel](
+    model: type[ModelType], **kwargs
+) -> ModelType:
+    """Instantiate a (potentially nested) model from (flat) kwargs.
+
+    Example:
+
+        class SimpleModel(BaseModel):
+            x: int
+            y: int
+
+
+        class NestedModel(BaseModel):
+            a: str
+            b: SimpleModel
+
+
+        class ComplexModel(BaseModel):
+            p: str
+            q: NestedModel
+
+
+    model = instantiate_model_from_kwargs(ComplexModel, x=1, y=2, a="a value", p="p value")
+    print(model)  # p='p value' q=NestedModel(a='a value', b=SimpleModel(x=1, y=2))
+    """
+
+    def _get_bindings(model: type[ModelType], **kwargs) -> dict:
+        """Get the bindings needed for model instantation.
+
+        The function traverses model.model_fields
+        and constructs a bindings dict by either getting values from kwargs or field defaults.
+        For model fields the recursive clause runs.
+
+        Note: This needs exception handling and proper testing.
+        """
+        return {
+            k: (
+                v.annotation(**_get_bindings(v.annotation, **kwargs))
+                if isinstance(v.annotation, type(BaseModel))
+                else kwargs.get(k, v.default)
+            )
+            for k, v in model.model_fields.items()
+        }
+
+    return model(**_get_bindings(model, **kwargs))
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..e69de29