Feat/cog 553 graph memory projection

examples/python/dynamic_steps_example.py

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+import cognee
+import asyncio
+from cognee.api.v1.search import SearchType
+
+job_position = """0:Senior Data Scientist (Machine Learning)
+
+Company: TechNova Solutions
+Location: San Francisco, CA
+
+Job Description:
+
+TechNova Solutions is seeking a Senior Data Scientist specializing in Machine Learning to join our dynamic analytics team. The ideal candidate will have a strong background in developing and deploying machine learning models, working with large datasets, and translating complex data into actionable insights.
+
+Responsibilities:
+
+Develop and implement advanced machine learning algorithms and models.
+Analyze large, complex datasets to extract meaningful patterns and insights.
+Collaborate with cross-functional teams to integrate predictive models into products.
+Stay updated with the latest advancements in machine learning and data science.
+Mentor junior data scientists and provide technical guidance.
+Qualifications:
+
+Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
+5+ years of experience in data science and machine learning.
+Proficient in Python, R, and SQL.
+Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
+Strong problem-solving skills and attention to detail.
+Candidate CVs
+"""
+
+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(enable_steps):
+    # Step 1: Reset data and system state
+    if enable_steps.get("prune_data"):
+        await cognee.prune.prune_data()
+        print("Data pruned.")
+
+    if enable_steps.get("prune_system"):
+        await cognee.prune.prune_system(metadata=True)
+        print("System pruned.")
+
+    # Step 2: Add text
+    if enable_steps.get("add_text"):
+        text_list = [job_position, 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]}...")
+
+    # Step 3: Create knowledge graph
+    if enable_steps.get("cognify"):
+        await cognee.cognify()
+        print("Knowledge graph created.")
+
+    # Step 4: Query insights
+    if enable_steps.get("search_insights"):
+        search_results = await cognee.search(
+            SearchType.INSIGHTS,
+            {'query': 'Which applicant has the most relevant experience?'}
+        )
+        print("Search results:")
+        for result_text in search_results:
+            print(result_text)
+
+
+if __name__ == '__main__':
+    # Flags to enable/disable steps
+    steps_to_enable = {
+        "prune_data": True,
+        "prune_system": True,
+        "add_text": True,
+        "cognify": True,
+        "search_insights": True
+    }
+
+    asyncio.run(main(steps_to_enable))