Kimberly L. Tripp

Tech Talks with Kimberly and AIJoe

Kimberly L. Tripp (SQLskills) and Joe Sack (Independent / resume includes Elastic, Microsoft, PostGres, and SQLskills) like to talk tech and always have fun doing it. We're mostly focused on topics for data professionals. SQL Server is our preferred database for prototyping and testing but many concepts apply to other databases (especially around AI and Vector Search). We, like many tech types, also like to branch out (squirrel) to all things Tech - especially animals, photography, gadgets, and who else knows what?!

Author

Kimberly L. Tripp

Category

Technology

Podcast website

riverside.com

Latest episode

Mar 26, 2026

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Episodes

011: Designing for Embeddings with Partitioning 26.03.2026

The conversation delves into the design considerations for embedding models, storage and management of embedding models, model versioning, separate tables for embedding models, switching data and model cut-over, strategic partitioning for data analysis, handling chunking and provenance tracking, recency and legal requirements, read, write, and data structure considerations, and policy-based manage...

010: Reconciling Database Sprawl and Hybrid Queries 25.03.2026

The conversation delves into the use of vector search for identifying schema and table structure similarities, highlighting its benefits and limitations. It explores the challenges of using vector search to identify redundancy and foreign key relationships within databases. Takeaways Vector search for schema and table structure similarities Limitations of vector search in identifying redundancy an...

009: Navigating Vector Search and Staying Relevant 11.03.2026

The conversation explores the power of AI and vector search, focusing on code exploration and analysis. It delves into the challenges of code sprawl, semantic similarity, and the potential of vector search to identify and address inconsistencies in code. The use of vector search as a tool for code analysis and refactoring is highlighted, along with its potential to enhance the role of DBAs and dev...

008: Unlocking the Power of Vector Search 10.03.2026

Why isn't Vector Search taking off as fast as we expected? We both agree that the power and complexity of vector search are both pros and cons - setting its adoption rate at a slower pace. However, we both feel that those who embrace this technology -- and especially those that master it -- will be able to move forward much faster than those who do not. Agentic coding, prototyping, and AI integrat...

007: Productivity with Claude Code 09.03.2026

Kimberly and Joe dive into the capabilities of Claude Code, demonstrating its use for automation, natural language interaction, and custom skill development. It explores the integration, extensibility, and learning potential of Claude Code, emphasizing optimization, efficiency, and the challenges associated with its use. The conversation explores the potential of AI in various aspects of database...

006: Increasing Productivity with AI Tools 06.03.2026

In this conversation, Joe and Kimberly delve into a discussion about the power and pitfalls of AI tools, exploring the challenges of AI reliability and the potential for AI tools to enhance productivity. The conversation covers the exploration of various AI tools and their applications, including Google AI Studio, Notebook LM, Cloud Code, OpenRouter, and more. The discussion delves into the use of...

005: Vacation Tech 06.03.2026

The conversation covers a range of topics including exciting ventures and inspirations, travel adventures and wildlife encounters, technology and navigation, photography and conservation, and collecting / obsessions. The takeaways include discussions on citizen science and technology, travel experiences and photography, and food choices and dietary preferences. The conversation delves into the jou...

004: SQL 2025 AI Features 05.03.2026

The conversation delves into the new AI capabilities introduced in SQL Server 2025, focusing on vector embeddings and semantic search. It explores the implementation, use cases, considerations, and security aspects of vector embeddings in SQL Server 2025. Takeaways SQL Server 2025 introduces new AI capabilities Vector embeddings and semantic search are key features of SQL Server 2025 Chapters 00:0...

003: SQL Server 2025 adds AI 05.03.2026

The conversation delves into the concept of vector embedding models, their applications, integration with SQL Server, use cases, and associated challenges and considerations. It explores the power of vector embedding models for semantic search, fuzzy search, anomaly detection, and contradiction detection, providing valuable insights into the evolving landscape of data management and search capabil...

002: AI is Evil?! 04.03.2026

The conversation covers the frustration of photography, skepticism about AI, AI as a superpower, AI in storytelling and research, AI and information verification, AI and database integration, AI and vector search, AI and database integration challenges, the role of DBAs in AI integration, AI and search technologies, and AI and anomaly detection. Takeaways AI can be a superpower for creative profes...

001: Reconnecting 04.03.2026

Kimberly and AI Joe talk: --Reconnecting and Reflecting on the Past --The Journey Back to Tech, Data and AI --Navigating Product Management and Challenges --Exploring New Frontiers: MongoDB and Elastic --Embracing Independence and Future Plans

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