diff --git a/cognee/triplet_embedding_poc/__init__.py b/cognee/triplet_embedding_poc/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/cognee/triplet_embedding_poc/triplet_embedding_poc_example.py b/cognee/triplet_embedding_poc/triplet_embedding_poc_example.py
new file mode 100644
index 000000000..c2e889101
--- /dev/null
+++ b/cognee/triplet_embedding_poc/triplet_embedding_poc_example.py
@@ -0,0 +1,188 @@
+import asyncio
+import cognee
+from cognee.shared.logging_utils import setup_logging, INFO
+from cognee.triplet_embedding_poc.triplet_embedding_postprocessing import (
+    triplet_embedding_postprocessing,
+)
+
+job_1 = """
+CV 1: Relevant
+Name: Dr. Emily Carter
+Contact Information:
+
+Email: emily.carter@example.com
+Phone: (555) 123-4567
+Summary:
+
+Senior Data Scientist with over 8 years of experience in machine learning and predictive analytics. Expertise in developing advanced algorithms and deploying scalable models in production environments.
+
+Education:
+
+Ph.D. in Computer Science, Stanford University (2014)
+B.S. in Mathematics, University of California, Berkeley (2010)
+Experience:
+
+Senior Data Scientist, InnovateAI Labs (2016 – Present)
+Led a team in developing machine learning models for natural language processing applications.
+Implemented deep learning algorithms that improved prediction accuracy by 25%.
+Collaborated with cross-functional teams to integrate models into cloud-based platforms.
+Data Scientist, DataWave Analytics (2014 – 2016)
+Developed predictive models for customer segmentation and churn analysis.
+Analyzed large datasets using Hadoop and Spark frameworks.
+Skills:
+
+Programming Languages: Python, R, SQL
+Machine Learning: TensorFlow, Keras, Scikit-Learn
+Big Data Technologies: Hadoop, Spark
+Data Visualization: Tableau, Matplotlib
+"""
+
+job_2 = """
+CV 2: Relevant
+Name: Michael Rodriguez
+Contact Information:
+
+Email: michael.rodriguez@example.com
+Phone: (555) 234-5678
+Summary:
+
+Data Scientist with a strong background in machine learning and statistical modeling. Skilled in handling large datasets and translating data into actionable business insights.
+
+Education:
+
+M.S. in Data Science, Carnegie Mellon University (2013)
+B.S. in Computer Science, University of Michigan (2011)
+Experience:
+
+Senior Data Scientist, Alpha Analytics (2017 – Present)
+Developed machine learning models to optimize marketing strategies.
+Reduced customer acquisition cost by 15% through predictive modeling.
+Data Scientist, TechInsights (2013 – 2017)
+Analyzed user behavior data to improve product features.
+Implemented A/B testing frameworks to evaluate product changes.
+Skills:
+
+Programming Languages: Python, Java, SQL
+Machine Learning: Scikit-Learn, XGBoost
+Data Visualization: Seaborn, Plotly
+Databases: MySQL, MongoDB
+"""
+
+
+job_3 = """
+CV 3: Relevant
+Name: Sarah Nguyen
+Contact Information:
+
+Email: sarah.nguyen@example.com
+Phone: (555) 345-6789
+Summary:
+
+Data Scientist specializing in machine learning with 6 years of experience. Passionate about leveraging data to drive business solutions and improve product performance.
+
+Education:
+
+M.S. in Statistics, University of Washington (2014)
+B.S. in Applied Mathematics, University of Texas at Austin (2012)
+Experience:
+
+Data Scientist, QuantumTech (2016 – Present)
+Designed and implemented machine learning algorithms for financial forecasting.
+Improved model efficiency by 20% through algorithm optimization.
+Junior Data Scientist, DataCore Solutions (2014 – 2016)
+Assisted in developing predictive models for supply chain optimization.
+Conducted data cleaning and preprocessing on large datasets.
+Skills:
+
+Programming Languages: Python, R
+Machine Learning Frameworks: PyTorch, Scikit-Learn
+Statistical Analysis: SAS, SPSS
+Cloud Platforms: AWS, Azure
+"""
+
+
+job_4 = """
+CV 4: Not Relevant
+Name: David Thompson
+Contact Information:
+
+Email: david.thompson@example.com
+Phone: (555) 456-7890
+Summary:
+
+Creative Graphic Designer with over 8 years of experience in visual design and branding. Proficient in Adobe Creative Suite and passionate about creating compelling visuals.
+
+Education:
+
+B.F.A. in Graphic Design, Rhode Island School of Design (2012)
+Experience:
+
+Senior Graphic Designer, CreativeWorks Agency (2015 – Present)
+Led design projects for clients in various industries.
+Created branding materials that increased client engagement by 30%.
+Graphic Designer, Visual Innovations (2012 – 2015)
+Designed marketing collateral, including brochures, logos, and websites.
+Collaborated with the marketing team to develop cohesive brand strategies.
+Skills:
+
+Design Software: Adobe Photoshop, Illustrator, InDesign
+Web Design: HTML, CSS
+Specialties: Branding and Identity, Typography
+"""
+
+
+job_5 = """
+CV 5: Not Relevant
+Name: Jessica Miller
+Contact Information:
+
+Email: jessica.miller@example.com
+Phone: (555) 567-8901
+Summary:
+
+Experienced Sales Manager with a strong track record in driving sales growth and building high-performing teams. Excellent communication and leadership skills.
+
+Education:
+
+B.A. in Business Administration, University of Southern California (2010)
+Experience:
+
+Sales Manager, Global Enterprises (2015 – Present)
+Managed a sales team of 15 members, achieving a 20% increase in annual revenue.
+Developed sales strategies that expanded customer base by 25%.
+Sales Representative, Market Leaders Inc. (2010 – 2015)
+Consistently exceeded sales targets and received the 'Top Salesperson' award in 2013.
+Skills:
+
+Sales Strategy and Planning
+Team Leadership and Development
+CRM Software: Salesforce, Zoho
+Negotiation and Relationship Building
+"""
+
+
+async def main():
+    pre_graph_creation = False
+
+    if pre_graph_creation:
+        await cognee.prune.prune_data()
+        await cognee.prune.prune_system(metadata=True)
+
+        text_list = [job_1, job_2, job_3, job_4, job_5]
+        for text in text_list:
+            await cognee.add(text)
+            print(f"Added text: {text[:35]}...")
+        await cognee.cognify()
+
+    await triplet_embedding_postprocessing()
+
+
+if __name__ == "__main__":
+    logger = setup_logging(log_level=INFO)
+
+    loop = asyncio.new_event_loop()
+    asyncio.set_event_loop(loop)
+    try:
+        loop.run_until_complete(main())
+    finally:
+        loop.run_until_complete(loop.shutdown_asyncgens())
diff --git a/cognee/triplet_embedding_poc/triplet_embedding_postprocessing.py b/cognee/triplet_embedding_poc/triplet_embedding_postprocessing.py
new file mode 100644
index 000000000..a9611cd91
--- /dev/null
+++ b/cognee/triplet_embedding_poc/triplet_embedding_postprocessing.py
@@ -0,0 +1,34 @@
+from typing import Any
+
+from cognee.modules.pipelines.operations.run_tasks_base import run_tasks_base
+from cognee.modules.users.methods import get_default_user
+from cognee.shared.logging_utils import get_logger
+from cognee.modules.pipelines.tasks.task import Task
+
+
+logger = get_logger("triplet_embedding_poc")
+
+
+async def get_triplets_from_graph_store(data) -> Any:
+    for i in range(0, 5):
+        yield i
+
+
+async def add_triplets_to_collection(data) -> None:
+    print(data)
+
+
+async def get_triplet_embedding_tasks() -> list[Task]:
+    triplet_embedding_tasks = [
+        Task(get_triplets_from_graph_store),
+        Task(add_triplets_to_collection),
+    ]
+
+    return triplet_embedding_tasks
+
+
+async def triplet_embedding_postprocessing():
+    tasks = await get_triplet_embedding_tasks()
+
+    async for result in run_tasks_base(tasks, user=await get_default_user(), data=[]):
+        print(result)