Dive into the world of AI with the Unstructured Data Podcast, featuring two series: Tales From AI Trailblazers and Meet the Makers. The first offers quick, insightful 20-minute chats with AI leaders, while the latter provides deeper 45-minute discussions with tech creators. Hosted by Zilliz, these series cover everything from practical AI applications to technical deep dives. This podcast is perfect for anyone eager to explore the latest in AI and unstructured data. Join us to learn what's new and have some fun along the way!
The Reality Check: When You Actually Need A Purpose-Built Vector Database
Chris Churilo and Jay Byoun examine the performance and scale requirements of vector databases like Zilliz and Milvus, highlighting production challenges and the balance between cost, accuracy, and user experience in this interview.
9 Jun 2025
Milvus 2.6: Advanced Vector Search with Reduced Costs
James Luan and Chris Churilo explore Milvus 2.6, a vector database, and reveal how its new features reduce costs and improve scalability for AI applications in this interview.
9 May 2025
Effective Zilliz Cloud: Solutions from an Architect
In this conversation, Stefan Webb (Developer Advocate) and Jay Byoun (Solutions Architect) discuss the intricacies of Zilliz Cloud (https://zilliz.com/cloud) and vector databases (https://zilliz.com/learn/what-is-vector-database), focusing on indexing algorithms, recall and latency trade-offs (https://zilliz.com/blog/balancing-precision-and-performance-how-zilliz-cloud-new-parameters-help-you-optimize-vector-search), chunking strategies (https://zilliz.com/learn/beginner-guide-to-website-chunking-and-embedding-for-your-genai-applications), cost considerations in LLM inference, and diverse use cases (https://zilliz.com/vector-database-use-cases) for vector databases. They also provide insights on how to get started with Zilliz (https://zilliz.com/cloud), emphasizing the importance of understanding these concepts for effective data management and application development.
To learn more about working with unstructured data, visit zilliz.com (https://zilliz.com/) and milvus.io (https://milvus.io/)
13 Mar 2025
Structured Output with Outlines
In this episode, Stefan Webb (developer advocate at Zilliz (https://zilliz.com/cloud)) interviews Cameron Pfiffer from .txt, discussing the intersection of generative AI (https://zilliz.com/learn/generative-ai), developer advocacy, and structured output. Cameron shares his journey into the field, the mission of .txt, and the importance of constrained sampling in AI development. The conversation explores the functionalities of Outlines, a tool designed to enhance structured output, and its future developments. Additionally, they discuss the integration of vector databases (https://zilliz.com/learn/what-is-vector-database) with constrained output and how listeners can engage with the community and resources available.
To learn more about working with unstructured data (https://zilliz.com/learn/introduction-to-unstructured-data), visit zilliz.com (https://zilliz.com/ ) and milvus.io (https://milvus.io/).
14 Feb 2025
Prompt, Score, Repeat: Principled RAG and Agent Design
Stephen Batifol and Stefan Webb, Developer Advocates at Zilliz (https://zilliz.com/cloud) (the maintainers of the open source vector database Milvus (https://zilliz.com/what-is-milvus)), explore the increasingly important world of GenAI (https://zilliz.com/learn/generative-ai)model evaluation. They discuss why it is important to evaluate your RAG (https://zilliz.com/learn/Retrieval-Augmented-Generation) or Agent (https://zilliz.com/blog/build-your-voice-assistant-agentic-rag-with-milvus-and-llama-3-2) pipeline during design and after deployment, how to do it, and where things are headed. Learn about the experimental mindset, LLM-as-a-Judge, RAGAS (https://zilliz.com/product/integrations/ragas) library, and other exciting topics!
To learn more about working with unstructured data, visit zilliz.com (https://zilliz.com/) and milvus.io (https://milvus.io).
6 Feb 2025
Inside the AI Agent Revolution
Stefan Webb and Stephen Batifol, Developer Advocates at Zilliz (https://zilliz.com/cloud) (the maintainers of the open source vector database Milvus (https://zilliz.com/what-is-milvus)), dive deep into the evolving world of AI agents (https://zilliz.com/glossary/ai-agents)—what they are, how they work, and their growing impact on technology and society.
They start by breaking down how agents operate and their workflows, then explore real-world applications and the challenges they face across industries. Beyond the technical, they discuss the philosophical and ethical implications of automation, questioning what it means for human work, creativity, and decision-making.
For builders, Stefan and Stephen cover the essential tools and techniques for developing AI agents, along with how to evaluate their performance and where the future of autonomous systems is headed. Whether you're an engineer, a strategist, or simply curious about AI, this series will give you the insights you need to navigate the agent-driven future.
To learn more about working with unstructured data, visit zilliz.com (https://zilliz.com/) and milvus.io (https://milvus.io).
Who has been a guest on Unstructured Data
Names identified in recent episode analyses. Showing up to five guests.
Chris Churilo
Jay Byoun
James Luan
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
Apple Podcasts (US)
5.0 / 5
1 ratings
Spotify
5.0 / 5
1 ratings
Podcast Authority Score: 19 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
Quality
26
Social presence
0
YouTube
0
Engagement
32
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