Merges latest development version into main.

.env.example

@@ -0,0 +1,6 @@
+# Define the OpenAI API key here if you want to use a local .env file for that.
+OPENAI_API_KEY=....
+
+# Or the Azure OpenAI API details
+AZURE_OPENAI_API_KEY=....
+AZURE_OPENAI_ENDPOINT=....

data/extractions/appartment_rent_ad.extraction.json

@@ -2,7 +2,7 @@
     "agent_extractions": {},
     "world_extraction": {
         "Focus group": {
-            "ad_copy": "Don't miss out on this unique opportunity! Contact Paulo today to schedule a viewing of this spacious, modern apartment featuring elegant renovations, a quiet location despite being on a main avenue, and all the furnishings you need to move in quickly. Enjoy the convenience of nearby supermarkets, restaurants, and public transport, all while being close to the best Medicine School in the country. This apartment is perfect for students and anyone looking for a comfortable home!"
+            "ad_copy": "Your peaceful oasis in the heart of the city! Experience modern living in a tranquil setting. This spacious, elegantly designed apartment features integrated spaces, a modern kitchen with high-quality appliances, and is just steps away from the best Medicine School. Enjoy the convenience of nearby supermarkets, bakeries, and restaurants, all while living in a quiet retreat. Don't miss out on this unique opportunity to live in style and comfort!"
         }
     }
 }

data/extractions/synthetic_data_generation.out.csv

@@ -1,13 +1,12 @@
 author,content
 USER,"Get some work done together, help each other."
-Lucas Martinez,I think working together is a great idea! What tasks do you want to tackle first?
-Lucas Martinez,"Hey Clara, I'm ready to get started on our projects. What do you think we should focus on first?"
-Clara Thompson,I think we should start by brainstorming new content ideas for our upcoming campaign. What do you think?
-Lucas Martinez,I think brainstorming new content ideas is a great starting point! I have a few ideas in mind that we can discuss. What do you think?
-Clara Thompson,I'm excited to hear your ideas! What do you have in mind?
-Lucas Martinez,I have a few ideas in mind! One is to create interactive social media posts that engage our audience. Another idea is to encourage user-generated content by running a contest. What do you think?
-Clara Thompson,I really like your ideas! Creating interactive social media posts and running a contest for user-generated content could really engage our audience. Let's discuss how we can implement these.
-Lucas Martinez,Great! Let's start by discussing the platforms we want to use for the interactive posts. I think Instagram and Facebook could be effective. What do you think?
-Clara Thompson,I agree that Instagram and Facebook are great choices! We could also consider Twitter for quick updates or TikTok for more engaging video content. What do you think?
-Lucas Martinez,I think incorporating Twitter for updates and TikTok for engaging videos is a fantastic idea! We can create content that fits each platform's style. Let's brainstorm some specific ideas for each one.
-Clara Thompson,"Absolutely! Let's brainstorm some specific ideas for Twitter and TikTok. For Twitter, we could share quick tips related to our content, and for TikTok, maybe we can create fun behind-the-scenes videos of our process. What do you think?"
+Emily Carter,That sounds like a great idea! I'm always up for collaborating and helping each other out. What specific tasks do you have in mind?
+Lucas Thompson,I was thinking we could work on some social media content together or analyze the performance of our recent campaigns. What do you think?
+Emily Carter,"I think both options are great! Creating social media content could help us engage our audience, while analyzing our recent campaigns will give us insights into what’s working. Maybe we can start with the content creation and then move on to the analysis?"
+Lucas Thompson,"That sounds like a solid plan! For the content creation, do you have any specific themes or ideas in mind that we should focus on?"
+Emily Carter,"I was thinking we could focus on themes like seasonal promotions, user-generated content, or even behind-the-scenes looks at our agency. What do you think about those ideas?"
+Lucas Thompson,"I love those ideas! We could definitely create some engaging posts around seasonal promotions, and user-generated content would be a fantastic way to involve our audience. Maybe we can also share some behind-the-scenes moments to give a personal touch. How about we brainstorm some specific posts for each theme?"
+Emily Carter,"Great! For the seasonal promotions, we could create posts highlighting special offers or discounts. For user-generated content, we can encourage our audience to share their experiences with our services and feature their posts. As for behind-the-scenes moments, we could share photos or videos of our team at work or during team-building activities. What do you think?"
+Lucas Thompson,"I think those are fantastic ideas! Highlighting special offers for seasonal promotions will definitely catch attention. Encouraging user-generated content is a great way to build community, and sharing behind-the-scenes moments will give our audience a glimpse into our culture. Maybe we can also create a specific hashtag for the user-generated content to make it easier to track?"
+Emily Carter,That's a great idea! We could use a hashtag like #CreativeSolutionsCommunity or #ShareYourExperience. It should be something that resonates with our audience and encourages them to participate. What do you think?
+Lucas Thompson,I really like both hashtags! They resonate well with our audience and encourage participation. I think we should go with #CreativeSolutionsCommunity since it emphasizes our brand and community aspect. What do you think?

data/extractions/wordprocessor/Document/Resume of Lisa Carter.Lisa Carter.json

@@ -0,0 +1,5 @@
+{
+    "title": "Resume of Lisa Carter",
+    "content": "```\n# Lisa Carter\n\n## Contact Information\n- **Email:** [email protected]\n- **Phone:** (123) 456-7890\n- **LinkedIn:** [linkedin.com/in/lisacarter](https://linkedin.com/in/lisacarter)\n\n## Summary\nLisa Carter is a highly skilled Data Scientist with a Master's degree in Data Science from the prestigious University of Toronto. With a specialization in artificial intelligence (AI) and machine learning, Lisa has a proven track record of significantly improving search relevance and enhancing user experience through meticulous data analysis and innovative model development. Her analytical prowess and technical expertise have enabled her to contribute effectively to various projects, making her a valuable asset in any data-driven environment.\n\n## Education\n**University of Toronto**  \n*Master's in Data Science*  \n*Graduation Date: Month Year*  \n**Thesis:** Improving Search Relevance Using Context-Aware Models  \nLisa's thesis focused on developing advanced algorithms that leverage contextual information to enhance the accuracy and relevance of search results. This research not only contributed to her academic growth but also provided practical insights applicable in real-world scenarios.\n\n**Relevant Coursework:**  \n- **Machine Learning:** Explored supervised and unsupervised learning techniques, including regression, classification, clustering, and neural networks.\n- **Natural Language Processing:** Studied the intricacies of language processing, including sentiment analysis, text classification, and language generation.\n- **Data Visualization:** Learned to effectively communicate data insights through visual representation using tools like Matplotlib and Seaborn.\n\n## Work Experience\n### Microsoft, M365 Search Team  \n*Data Scientist*  \n*Date: Month Year - Present*  \nIn her current role at Microsoft, Lisa plays a pivotal role in enhancing the search functionality of the M365 suite. Her responsibilities include:\n\n- **User Behavior Analysis:** Analyzed user behavior and feedback data to identify patterns and trends that inform search result enhancements. This involved utilizing A/B testing and user surveys to gather actionable insights.\n- **Model Development:** Developed and tested machine learning models for natural language understanding and query expansion, resulting in a 20% increase in user satisfaction scores.\n- **Cross-Functional Collaboration:** Collaborated with cross-functional teams, including product managers, software engineers, and UX designers, to address data quality issues and improve model accuracy. This collaboration ensured that the models were not only technically sound but also aligned with user needs.\n\n### Tech Startup (Internship)  \n*Data Science Intern*  \n*Date: Month Year - Month Year*  \nDuring her internship at a dynamic tech startup, Lisa gained hands-on experience in the field of data science. Her key contributions included:\n\n- **Conversational AI Models:** Assisted in building conversational AI models that improved user interaction and engagement. This involved training models on diverse datasets to ensure robustness and reliability.\n- **Data Cleaning and Preprocessing:** Conducted extensive data cleaning and preprocessing to ensure high-quality datasets, which are crucial for effective model training and evaluation. This included handling missing values, outlier detection, and normalization.\n\n## Skills\n- **Programming Languages:** Proficient in Python, with extensive experience in libraries such as pandas, scikit-learn, and TensorFlow. Familiar with R for statistical analysis.\n- **Data Management:** Strong knowledge of SQL for database management and data retrieval. Experienced in using Power BI for data visualization and reporting.\n- **Analytical Skills:** Exceptional analytical and problem-solving skills, with a keen ability to interpret complex data sets and derive meaningful insights.\n- **Machine Learning Frameworks:** Experienced in using Azure ML for deploying machine learning models in cloud environments.\n\n## Interests\n- **Artificial Intelligence and Machine Learning:** Passionate about exploring the latest advancements in AI and machine learning technologies, and their applications in various industries.\n- **Natural Language Processing:** Enthusiastic about developing conversational agents and improving human-computer interaction through NLP techniques.\n- **Culinary Arts:** Enjoys cooking and experimenting with new recipes, often drawing inspiration from different cultures and cuisines.\n- **Music:** Plays the piano and enjoys composing music, finding it a great way to express creativity and unwind.\n\n## References\nReferences are available upon request. Lisa is happy to provide contacts from her academic and professional network who can speak to her skills, work ethic, and contributions in the field of data science.\n```",
+    "author": "Lisa Carter"
+}

data/extractions/wordprocessor/Document/Resume of Lisa Carter.Lisa Carter.md

@@ -0,0 +1,56 @@
+```
+# Lisa Carter
+
+## Contact Information
+- **Email:** [email protected]
+- **Phone:** (123) 456-7890
+- **LinkedIn:** [linkedin.com/in/lisacarter](https://linkedin.com/in/lisacarter)
+
+## Summary
+Lisa Carter is a highly skilled Data Scientist with a Master's degree in Data Science from the prestigious University of Toronto. With a specialization in artificial intelligence (AI) and machine learning, Lisa has a proven track record of significantly improving search relevance and enhancing user experience through meticulous data analysis and innovative model development. Her analytical prowess and technical expertise have enabled her to contribute effectively to various projects, making her a valuable asset in any data-driven environment.
+
+## Education
+**University of Toronto**  
+*Master's in Data Science*  
+*Graduation Date: Month Year*  
+**Thesis:** Improving Search Relevance Using Context-Aware Models  
+Lisa's thesis focused on developing advanced algorithms that leverage contextual information to enhance the accuracy and relevance of search results. This research not only contributed to her academic growth but also provided practical insights applicable in real-world scenarios.
+
+**Relevant Coursework:**  
+- **Machine Learning:** Explored supervised and unsupervised learning techniques, including regression, classification, clustering, and neural networks.
+- **Natural Language Processing:** Studied the intricacies of language processing, including sentiment analysis, text classification, and language generation.
+- **Data Visualization:** Learned to effectively communicate data insights through visual representation using tools like Matplotlib and Seaborn.
+
+## Work Experience
+### Microsoft, M365 Search Team  
+*Data Scientist*  
+*Date: Month Year - Present*  
+In her current role at Microsoft, Lisa plays a pivotal role in enhancing the search functionality of the M365 suite. Her responsibilities include:
+
+- **User Behavior Analysis:** Analyzed user behavior and feedback data to identify patterns and trends that inform search result enhancements. This involved utilizing A/B testing and user surveys to gather actionable insights.
+- **Model Development:** Developed and tested machine learning models for natural language understanding and query expansion, resulting in a 20% increase in user satisfaction scores.
+- **Cross-Functional Collaboration:** Collaborated with cross-functional teams, including product managers, software engineers, and UX designers, to address data quality issues and improve model accuracy. This collaboration ensured that the models were not only technically sound but also aligned with user needs.
+
+### Tech Startup (Internship)  
+*Data Science Intern*  
+*Date: Month Year - Month Year*  
+During her internship at a dynamic tech startup, Lisa gained hands-on experience in the field of data science. Her key contributions included:
+
+- **Conversational AI Models:** Assisted in building conversational AI models that improved user interaction and engagement. This involved training models on diverse datasets to ensure robustness and reliability.
+- **Data Cleaning and Preprocessing:** Conducted extensive data cleaning and preprocessing to ensure high-quality datasets, which are crucial for effective model training and evaluation. This included handling missing values, outlier detection, and normalization.
+
+## Skills
+- **Programming Languages:** Proficient in Python, with extensive experience in libraries such as pandas, scikit-learn, and TensorFlow. Familiar with R for statistical analysis.
+- **Data Management:** Strong knowledge of SQL for database management and data retrieval. Experienced in using Power BI for data visualization and reporting.
+- **Analytical Skills:** Exceptional analytical and problem-solving skills, with a keen ability to interpret complex data sets and derive meaningful insights.
+- **Machine Learning Frameworks:** Experienced in using Azure ML for deploying machine learning models in cloud environments.
+
+## Interests
+- **Artificial Intelligence and Machine Learning:** Passionate about exploring the latest advancements in AI and machine learning technologies, and their applications in various industries.
+- **Natural Language Processing:** Enthusiastic about developing conversational agents and improving human-computer interaction through NLP techniques.
+- **Culinary Arts:** Enjoys cooking and experimenting with new recipes, often drawing inspiration from different cultures and cuisines.
+- **Music:** Plays the piano and enjoys composing music, finding it a great way to express creativity and unwind.
+
+## References
+References are available upon request. Lisa is happy to provide contacts from her academic and professional network who can speak to her skills, work ethic, and contributions in the field of data science.
+```