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<strong>Meeting summary for DesignSafe Release/Management Meeting (04/10/2025)</strong>
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<strong>Quick recap</strong>
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The team discussed various ongoing projects, including AI companion development, database integration, and Github integration, setting priorities and deadlines for each. They explored the potential of Tapestry's database querying capabilities and debated the future of their AI model tagging system. The team also addressed the implementation of database functionality, focusing on SQLite databases, and planned for the development of an AI search feature for metadata in the data depot.
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<strong>Next steps</strong>
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• Ellen to email Fred regarding stopping work on making Tag It public and advanced search features.
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• Tracy to stop development work on making Tag It public and advanced search features.
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• Tracy to make Tag It an app and advertise it within the system.
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• Krishna, Jake, and Tracy to meet (organized by Natalie) to discuss AI search implementation details.
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• Krishna, Jake, and Tracy to work on having a prototype AI search of the data depot ready by May 15th.
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• Krishna to send the Dappy paper by April 30th.
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• Krishna to work with Gilbert, West, and Sal to integrate Dappy into various Jupiter environments.
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• Tim to contact Clint regarding who is responsible for compiling ADCIRC versions on TACC systems.
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• Krishna to work with Gilbert to add SQLite tools to the Jupyter interfaces.
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• Krishna to create documentation on how to create and use SQLite databases.
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• Tracy to organize a meeting with Scott to discuss database implementation and user interface options.
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<strong>Summary</strong>
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<strong>Project Progress and Integration Updates</strong>
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Ellen and Tracy discussed the progress of various projects, including AI companion, relational databases, and Github integration. They noted that some tasks, such as the AI companion prototype, were due soon. Tracy mentioned that she had a meeting with Jake to discuss the AI companion and that they were working on mock-ups for the software integration. However, they were still waiting for Krishna to arrive to discuss the AI companion further. Tracy also mentioned that they were working on the back end for the relational databases and that they were meeting with the Tapas folks to understand their API. They also discussed the Github integration, with Tracy mentioning that they were working on the user interface and that they were investigating how to send an email to users. Tracy also mentioned that they were working on a plan for the Github integration and that they were aiming to complete it during the summer.
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<strong>Tapestry Database Querying and Relational Databases</strong>
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Ellen, Tim, and Tracy discussed the capabilities of Tapestry's database querying and its potential to work with various relational databases. Tracy emphasized the need to create a relational database using Tapas and the importance of user choice in the process. They also discussed their high-priority items for the new quarter, including audit trails and working with the dataverse people.
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<strong>Discussing Project Progress and Challenges</strong>
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Tracy, Ellen, Tim, and Krishna discussed the progress and challenges of their projects. They agreed to have a meeting with Krishna to discuss the similarities between their projects. They also discussed the need to work on the tag it system, which requires significant effort to make it public. The team decided to continue working on the tag it system, despite the challenges, and to consider the possibility of making it public. They also discussed the need to advance the search feature for the tag it system.
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<strong>AI Model Tagging System Future</strong>
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Krishna raised a question about the future of the AI model tagging system, asking if it would be integrated into the existing system or if a separate system would be developed. Ellen and Tracy discussed the current state of the AI model, noting that it has not been widely adopted and is not being actively developed. They agreed that the model could be maintained as is, but questioned the need for further development. They also discussed the potential for the model to be used as a tool for tagging images, but decided that it should remain private for internal use.
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<strong>Project Status and AI Interface Meeting</strong>
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Tracy and Ellen discussed the status of various projects, including the public side and advanced search. They decided to remove the public side from the list to allow their developers to focus on higher priority tasks. Ellen will email Fred about the project's status. They also discussed the new Padcirc version and the need to update the version number for tracking purposes. Tracy and Ellen agreed to set up a meeting with Krishna and Jake to ensure they are on the same page regarding the AI interface and search functionality.
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<strong>AI Search for Data Depot</strong>
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The team discussed the development of an AI search for metadata in the data depot, including file names and descriptions. They agreed to combine the search with the documentation AI model for a unified user experience. The team also discussed the potential for the data depot to grow significantly, which could impact the search efficiency. They plan to discuss these issues further in a meeting with Jake.
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<strong>Prototype Development With LLMs and RAG</strong>
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The team discussed the development of a prototype with two LLMs, one for documentation and one for published data depot. They agreed to start with one LLM and two RAG databases, with the possibility of fine-tuning and optimizing for different types of queries. The team set a goal of having the prototype ready by May 15th, with the initial version focusing on database search and not requiring a trained AI model. The next step would involve fine-tuning and improving the answers based on question and answer pairs.
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<strong>Dappy Deployment Documentation and Testing</strong>
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Krishna will provide documentation for the Dappy deployment, which will be tested on the Jupyter interface. The deployment will be available for all Jupiters, including the HPC Jupiters and the Hub. Krishna will work with Gilbert to update the older version to the newer one. Tracy will coordinate with Sal to get the deployment in the documentation and with West to get it in the Hub. The deployment will be automatically installed, but users can also install it manually. Tracy will remove the Frontera versions and move the Stampede 3 versions. The team will wait for the Stampede 3 versions to be compiled and moved before removing the Frontera versions.
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<strong>Implementing SQLite Databases in System</strong>
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The team discusses implementing database functionality in their system. They decide to focus on SQLite databases, which users can upload as files. Krishna suggests adding SQLite tools to the Jupyter interface and creating documentation on how to create and use these files. Tracy expresses concern about the user interface and how to communicate this feature to users. Ellen emphasizes the need to involve Scott in the decision-making process and to consider how to effectively market this new capability to users beyond just adding it to the documentation.
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