diff --git a/chirps/chirps/settings.py b/chirps/chirps/settings.py
index d5a17816..7aad65d1 100644
--- a/chirps/chirps/settings.py
+++ b/chirps/chirps/settings.py
@@ -54,6 +54,7 @@
     'target',
     'account',
     'plan',
+    'embedding',
 ]
 
 MIDDLEWARE = [
diff --git a/chirps/chirps/urls.py b/chirps/chirps/urls.py
index 7b3f5a5b..927e1f1a 100644
--- a/chirps/chirps/urls.py
+++ b/chirps/chirps/urls.py
@@ -20,9 +20,10 @@
 
 urlpatterns = [
     path('', include('base_app.urls')),
-    path('target/', include('target.urls')),
-    path('scan/', include('scan.urls')),
-    path('plan/', include('plan.urls')),
-    path('admin/', admin.site.urls),
     path('account/', include('account.urls')),
+    path('admin/', admin.site.urls),
+    path('embedding/', include('embedding.urls')),
+    path('plan/', include('plan.urls')),
+    path('scan/', include('scan.urls')),
+    path('target/', include('target.urls')),
 ]
diff --git a/chirps/embedding/__init__.py b/chirps/embedding/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/chirps/embedding/admin.py b/chirps/embedding/admin.py
new file mode 100644
index 00000000..539f54a8
--- /dev/null
+++ b/chirps/embedding/admin.py
@@ -0,0 +1,6 @@
+"""Register Embedding model with admin site."""
+from django.contrib import admin
+
+from .models import Embedding
+
+admin.register(Embedding)
diff --git a/chirps/embedding/apps.py b/chirps/embedding/apps.py
new file mode 100644
index 00000000..68d52c2b
--- /dev/null
+++ b/chirps/embedding/apps.py
@@ -0,0 +1,9 @@
+"""Embedding application configuration options."""
+from django.apps import AppConfig
+
+
+class EmbeddingConfig(AppConfig):
+    """Configuration for the embedding app."""
+
+    default_auto_field = 'django.db.models.BigAutoField'
+    name = 'embedding'
diff --git a/chirps/embedding/fixtures/__init__.py b/chirps/embedding/fixtures/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/chirps/embedding/fixtures/embedding/__init__.py b/chirps/embedding/fixtures/embedding/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/chirps/embedding/fixtures/embedding/openai_embedding_create_mock.json b/chirps/embedding/fixtures/embedding/openai_embedding_create_mock.json
new file mode 100644
index 00000000..ce859935
--- /dev/null
+++ b/chirps/embedding/fixtures/embedding/openai_embedding_create_mock.json
@@ -0,0 +1,1552 @@
+{
+    "object": "list",
+    "data": [
+        {
+            "object": "embedding",
+            "index": 0,
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+    "model": "text-embedding-ada-002-v2",
+    "usage": {
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+        "total_tokens": 2
+    }
+}
diff --git a/chirps/embedding/forms.py b/chirps/embedding/forms.py
new file mode 100644
index 00000000..4a4e53c2
--- /dev/null
+++ b/chirps/embedding/forms.py
@@ -0,0 +1,22 @@
+"""Forms for the embedding application models."""
+from django import forms
+
+from .models import Embedding
+
+
+class CreateEmbeddingForm(forms.Form):
+    """Form for creating embeddings."""
+
+    text = forms.CharField(
+        label='Text',
+        max_length=1000,
+        required=True,
+        widget=forms.TextInput(attrs={'class': 'form-control', 'placeholder': 'The text to embed'}),
+    )
+    model = forms.CharField(
+        label='Model',
+        max_length=100,
+        required=True,
+        widget=forms.TextInput(attrs={'class': 'form-control', 'placeholder': 'The model to embed the text with'}),
+    )
+    service = forms.ChoiceField(label='Service', required=True, choices=Embedding.Service.choices)
diff --git a/chirps/embedding/migrations/0001_initial.py b/chirps/embedding/migrations/0001_initial.py
new file mode 100644
index 00000000..816c6548
--- /dev/null
+++ b/chirps/embedding/migrations/0001_initial.py
@@ -0,0 +1,51 @@
+# Generated by Django 4.2.2 on 2023-07-11 17:27
+
+import django.db.models.deletion
+from django.conf import settings
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    initial = True
+
+    dependencies = [
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Embedding',
+            fields=[
+                (
+                    'id',
+                    models.BigAutoField(
+                        auto_created=True,
+                        primary_key=True,
+                        serialize=False,
+                        verbose_name='ID',
+                    ),
+                ),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('model', models.CharField(max_length=256)),
+                (
+                    'service',
+                    models.CharField(
+                        choices=[
+                            ('OA', 'OpenAI'),
+                            ('LH', 'Locally Hosted: NOT IMPLEMENTED'),
+                        ],
+                        max_length=2,
+                    ),
+                ),
+                ('text', models.TextField()),
+                ('vectors', models.JSONField()),
+                (
+                    'user',
+                    models.ForeignKey(
+                        on_delete=django.db.models.deletion.CASCADE,
+                        to=settings.AUTH_USER_MODEL,
+                    ),
+                ),
+            ],
+        ),
+    ]
diff --git a/chirps/embedding/migrations/__init__.py b/chirps/embedding/migrations/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/chirps/embedding/models.py b/chirps/embedding/models.py
new file mode 100644
index 00000000..7fdeba81
--- /dev/null
+++ b/chirps/embedding/models.py
@@ -0,0 +1,52 @@
+"""Models for the embedding app"""
+from django.contrib.auth.models import User
+from django.db import models
+
+from .providers.base import BaseEmbeddingProvider
+from .providers.openai import OpenAIEmbeddingProvider
+
+
+class Embedding(models.Model):
+    """A model to store embeddings generated by a target."""
+
+    class Service(models.TextChoices):
+        """Enumerations to define services available for generating embeddings."""
+
+        OPEN_AI = 'OA', 'OpenAI'
+        LOCAL = 'LH', 'Locally Hosted: NOT IMPLEMENTED'
+
+        @classmethod
+        def get_provider_from_service_name(cls, name: str) -> BaseEmbeddingProvider:
+            """Get the provider for the service."""
+            if name == Embedding.Service.OPEN_AI:
+                return OpenAIEmbeddingProvider()
+
+            raise NotImplementedError
+
+    created_at = models.DateTimeField(auto_now_add=True)
+
+    # Name of the model used to generate the embedding
+    model = models.CharField(max_length=256)
+
+    # The service used to generate the embedding
+    service = models.CharField(max_length=2, choices=Service.choices)
+
+    # The text used to generate the embedding
+    text = models.TextField()
+
+    # The result of the embedding operation
+    vectors = models.JSONField()
+
+    # Which user does this embedding belong to?
+    user = models.ForeignKey(User, on_delete=models.CASCADE)
+
+    def to_dict(self) -> dict:
+        """Convert the model to a dictionary."""
+        return {
+            'id': self.id,
+            'created_at': self.created_at,
+            'model': self.model,
+            'service': self.service,
+            'text': self.text,
+            'vectors': self.vectors,
+        }
diff --git a/chirps/embedding/providers/__init__.py b/chirps/embedding/providers/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/chirps/embedding/providers/base.py b/chirps/embedding/providers/base.py
new file mode 100644
index 00000000..37a7a4eb
--- /dev/null
+++ b/chirps/embedding/providers/base.py
@@ -0,0 +1,17 @@
+"""Base implementation for embedding providers."""
+from abc import ABC
+from typing import Any
+
+from django.contrib.auth.models import User
+
+
+class EmbeddingError(Exception):
+    """Error class for the embedding providers."""
+
+
+class BaseEmbeddingProvider(ABC):
+    """Base implementation for embedding providers."""
+
+    def embed(self, user: User, model: str, text: str) -> Any:
+        """Generate embeddings for the specified text."""
+        raise NotImplementedError
diff --git a/chirps/embedding/providers/openai.py b/chirps/embedding/providers/openai.py
new file mode 100644
index 00000000..9c6236db
--- /dev/null
+++ b/chirps/embedding/providers/openai.py
@@ -0,0 +1,41 @@
+"""OpenAI implementation for embedding provider."""
+import logging
+from typing import Any
+
+import openai
+from django.contrib.auth.models import User
+
+from .base import BaseEmbeddingProvider, EmbeddingError
+
+logger = logging.getLogger(__name__)
+
+
+class OpenAIEmbeddingProvider(BaseEmbeddingProvider):
+    """OpenAI implementation for embedding providers."""
+
+    def embed(self, user: User, model: str, text: str) -> Any:
+        """Use OpenAI to generate embeddings for the specified text."""
+        # If the OpenAI API key is not set, raise an error
+        if user.profile.openai_key in [None, '']:
+            logger.error('User OpenAI key not set', extra={'user_id': user.id})
+            raise EmbeddingError('OpenAI API key not set')
+
+        # Initialize the OpenAI API key from the user's profile
+        openai.api_key = user.profile.openai_key
+
+        logger.debug('Generating embedding for text', extra={'text': text})
+
+        # Generate the embedding
+        try:
+            response = openai.Embedding.create(model=model, input=text)
+        except openai.error.InvalidRequestError as err:
+            raise EmbeddingError(f'Embedding failure: {str(err)}') from err
+
+        logger.debug(
+            'Embedding complete',
+            extra={
+                'prompt_tokens': response['usage']['prompt_tokens'],
+                'total_tokens': response['usage']['total_tokens'],
+            },
+        )
+        return response['data'][0]['embedding']
diff --git a/chirps/embedding/tests.py b/chirps/embedding/tests.py
new file mode 100644
index 00000000..7938a516
--- /dev/null
+++ b/chirps/embedding/tests.py
@@ -0,0 +1,127 @@
+"""Tests for the embedding app."""
+# pylint: disable=consider-using-with
+import json
+from pathlib import Path
+from unittest.mock import patch
+
+import openai
+from django.test import TestCase
+from django.urls import reverse
+
+from .models import Embedding
+
+# Build the path to the fixtures directory
+fixture_path = Path(__file__).parent.resolve() / Path('./fixtures/embedding')
+
+
+class TestEmbedding(TestCase):
+    """Test the embedding app."""
+
+    def setUp(self):
+        """Create a dummy user for testing."""
+        username = 'test_user'
+        password = 'test_password'
+        email = 'test_user@mantiumai.com'
+
+        # Create a new account (will automatically log us in)
+        self.client.post(
+            reverse('signup'), {'username': username, 'email': email, 'password1': password, 'password2': password}
+        )
+
+        # Set a dummy OpenAI key
+        self.client.post(reverse('profile'), {'openai_key': 'test_openai_key'})
+
+    def test_create_invalid(self):
+        """Test creating an embedding with invalid URL parameters."""
+        # Missing text field should yield a 400 response
+        response = self.client.get(reverse('embedding_create'), {'model': 'test model', 'service': 'test service'})
+        self.assertContains(response, text='"text": ["This field is required."]', status_code=400)
+
+        # Missing model field should yield a 400 response
+        response = self.client.get(reverse('embedding_create'), {'text': 'test text', 'service': 'test service'})
+        self.assertContains(response, text='"model": ["This field is required."]', status_code=400)
+
+        # Missing service field should yield a 400 response
+        response = self.client.get(reverse('embedding_create'), {'text': 'test text', 'model': 'test model'})
+        self.assertContains(response, text='"service": ["This field is required."]', status_code=400)
+
+        # Pass in an invalid service ID
+        response = self.client.get(
+            reverse('embedding_create'), {'text': 'test text', 'model': 'test model', 'service': 'invalid service'}
+        )
+        self.assertContains(
+            response,
+            text='"service": ["Select a valid choice. invalid service is not one of the available choices."]',
+            status_code=400,
+        )
+
+    @patch(
+        'openai.Embedding.create',
+        side_effect=openai.error.InvalidRequestError('The model `invalid-model-001` does not exist', ''),
+    )
+    def test_create_invalid_openai_model(self, _mock_openai_embedding_create):
+        """Pass in a junk model name to the OpenAI service."""
+        response = self.client.get(
+            reverse('embedding_create'), {'text': 'test text', 'model': 'invalid-model-001', 'service': 'OA'}
+        )
+        self.assertContains(
+            response,
+            text='{"error": "Embedding failure: The model `invalid-model-001` does not exist"}',
+            status_code=400,
+        )
+
+    @patch(
+        'openai.Embedding.create',
+        return_value=json.loads(open(f'{fixture_path}/openai_embedding_create_mock.json', encoding='utf-8').read()),
+    )
+    def test_create_valid(self, _mock_openai_embedding_create):
+        """Test creating a valid embedding."""
+        # Verify there are no embeddings in the database
+        self.assertEqual(0, Embedding.objects.all().count())
+
+        # Fire off an embedding request that will hit the OpenAI mock
+        # The request SHOULD create a new Embedding object in the database
+        response = self.client.get(
+            reverse('embedding_create'), {'text': 'test text', 'model': 'invalid-model-001', 'service': 'OA'}
+        )
+        self.assertContains(response, text='-0.016634132713079453', count=2, status_code=200)
+
+        # There now should be one embedding in the database
+        self.assertEqual(1, Embedding.objects.all().count())
+
+        # Fire off a duplicate request - verify there is still only one model in the DB
+        response = self.client.get(
+            reverse('embedding_create'), {'text': 'test text', 'model': 'invalid-model-001', 'service': 'OA'}
+        )
+        self.assertContains(response, text='-0.016634132713079453', count=2, status_code=200)
+        self.assertEqual(1, Embedding.objects.all().count())
+
+    @patch(
+        'openai.Embedding.create',
+        return_value=json.loads(open(f'{fixture_path}/openai_embedding_create_mock.json', encoding='utf-8').read()),
+    )
+    def test_delete(self, _mock_openai_embedding_create):
+        """Test deleting an embedding."""
+        # Verify there are no embeddings in the database
+        self.assertEqual(0, Embedding.objects.all().count())
+
+        # Fire off an embedding request that will hit the OpenAI mock
+        # The request SHOULD create a new Embedding object in the database
+        response = self.client.get(
+            reverse('embedding_create'), {'text': 'test text', 'model': 'invalid-model-001', 'service': 'OA'}
+        )
+        self.assertContains(response, text='-0.016634132713079453', count=2, status_code=200)
+
+        # List all of the embeddings (there should be only one)
+        response = self.client.get(reverse('embedding_list'))
+        json_data = response.json()
+        self.assertEqual(len(json_data['embeddings']), 1)
+
+        # Delete the embedding
+        response = self.client.get(
+            reverse('embedding_delete', kwargs={'embedding_id': json_data['embeddings'][0]['id']})
+        )
+        self.assertEqual(response.status_code, 200)
+
+        # Verify the embedding is deleted from the database
+        self.assertEqual(0, Embedding.objects.all().count())
diff --git a/chirps/embedding/urls.py b/chirps/embedding/urls.py
new file mode 100644
index 00000000..0cefc08a
--- /dev/null
+++ b/chirps/embedding/urls.py
@@ -0,0 +1,10 @@
+"""URLs for the embedding app."""
+from django.urls import path
+
+from . import views
+
+urlpatterns = [
+    path('', views.show, name='embedding_list'),
+    path('create/', views.create, name='embedding_create'),
+    path('delete/<int:embedding_id>/', views.delete, name='embedding_delete'),
+]
diff --git a/chirps/embedding/utils.py b/chirps/embedding/utils.py
new file mode 100644
index 00000000..77afcf11
--- /dev/null
+++ b/chirps/embedding/utils.py
@@ -0,0 +1,36 @@
+"""Utility functions for the embedding app."""
+from django.contrib.auth.models import User
+
+from .models import Embedding
+from .providers.base import BaseEmbeddingProvider
+
+
+def create_embedding(text: str, model: str, service: str, user: User) -> Embedding:
+    """Pull an embedding from the database, or generate a new one."""
+    # Search for the text to see if an embedding already exists
+    try:
+        embedding = Embedding.objects.get(
+            text=text,
+            model=model,
+            service=service,
+            user=user,
+        )
+    except Embedding.DoesNotExist:  # Oh noes! We need to generate a new embedding.
+        # Fetch the required provider class from the name of the service requested by the user. The service name
+        # should be one of the enum values found in Embedding.Service.
+        provider: BaseEmbeddingProvider = Embedding.Service.get_provider_from_service_name(service)
+
+        # Use the specified service to generate embeddings with the specified model
+        # Raises EmbeddingError if the embedding fails
+        embed_result = provider.embed(user=user, model=model, text=text)
+
+        # Save the embedding result to the database
+        embedding = Embedding.objects.create(
+            model=model,
+            service=service,
+            text=text,
+            vectors=embed_result,
+            user=user,
+        )
+
+    return embedding
diff --git a/chirps/embedding/views.py b/chirps/embedding/views.py
new file mode 100644
index 00000000..60945684
--- /dev/null
+++ b/chirps/embedding/views.py
@@ -0,0 +1,54 @@
+"""Views for the embedding app."""
+import json
+
+from django.contrib.auth.decorators import login_required
+from django.core.paginator import Paginator
+from django.http import HttpResponse, HttpResponseBadRequest, JsonResponse
+from django.shortcuts import get_object_or_404
+
+from .forms import CreateEmbeddingForm
+from .models import Embedding
+from .providers.base import EmbeddingError
+from .utils import create_embedding
+
+
+@login_required
+def create(request):
+    """Create a new embedding."""
+    # Verify the reqquest has the requred URL parameters
+    form = CreateEmbeddingForm(request.GET)
+    if not form.is_valid():
+        return HttpResponseBadRequest(json.dumps(form.errors), status=400)
+
+    # Use the specified service to generate embeddings with the specified model
+    try:
+        embedding: Embedding = create_embedding(
+            text=form.cleaned_data['text'],
+            model=form.cleaned_data['model'],
+            service=form.cleaned_data['service'],
+            user=request.user,
+        )
+    except EmbeddingError as err:
+        return HttpResponseBadRequest(json.dumps({'error': str(err)}), status=400)
+
+    # Return the vectors and it's siesta time.
+    return JsonResponse({'embedding': embedding.vectors})
+
+
+@login_required
+def delete(request, embedding_id):
+    """Delete an existing embedding."""
+    get_object_or_404(Embedding, pk=embedding_id, user=request.user).delete()
+    return HttpResponse('OK', status=200)
+
+
+@login_required
+def show(request):
+    """List all embeddings."""
+    # Paginate the number of items returned to the user, defaulting to 25 per page
+    user_embeddings = Embedding.objects.filter(user=request.user).order_by('id')
+    paginator = Paginator(user_embeddings, request.GET.get('item_count', 25))
+    page_number = request.GET.get('page')
+    page_obj = paginator.get_page(page_number)
+
+    return JsonResponse({'embeddings': [embedding.to_dict() for embedding in page_obj.object_list]})
diff --git a/requirements.txt b/requirements.txt
index 52f41f72..07fa5122 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,6 +4,7 @@ django-celery-results==2.5.1
 django-fernet-fields==0.6
 django-polymorphic==3.1.0
 mantium-client
+openai==0.27.8
 redis==4.5.5
 requests==2.31.0
 pinecone-client