Uploaded September 2025 | Updated September 2026, 4 hours ago
Hey everyone! Thank you so much for watching the 128th episode of the Weaviate Podcast featuring Charles Pierse! Charles is the Director of the Weaviate Labs team, where he has recently lead the GA release of the Weaviate Query Agent. The podcast begins with the journey from alpha to GA release, discussing unexpected lessons and the collaborations between teams at Weaviate. Continuing on the product design, we cover the design of the Python and TypeScript clients and how to think about response models with Agent products. Then diving into the tech, we cover several different aspects of the Query Agent from question answering with citations, to schema introspection and typing for database querying, multi-collection routing, and the newly introduced Search Mode. We also discuss the Weaviate Query Agent's integration with the Cloud Console, a GUI home for the Weaviate Database! We are also super excited to share a case study from one of the Query Agent's power uses, MetaBuddy! The podcast concludes with the MetaBuddy case study and some exciting directions for the future development of the Query Agent.
Learn more about the GA release of Weaviate's Query Agent: weaviate.io/blog/query-agent-generally-available
Read the docs: docs.weaviate.io/agents
Chapters
0:00 Weaviate Query Agent
1:49 Welcome Charles!
2:41 From Alpha to GA
14:31 Python and TypeScript Client Design
20:25 Citations
25:04 Schema Introspection
36:49 Multi-Collection Routing
41:27 Search Mode
51:04 Cloud Console Integration
56:29 MetaBuddy Case Study
1:00:09 Future of the Query Agent
Hey everyone! Thank you so much for watching the 128th episode of the Weaviate Podcast featuring Charles Pierse! Charles is the Director of the Weaviate Labs team, where he has recently lead the GA release of the Weaviate Query Agent. The podcast begins with the journey from alpha to GA release, discussing unexpected lessons and the collaborations between teams at Weaviate. Continuing on the product design, we cover the design of the Python and TypeScript clients and how to think about response models with Agent products. Then diving into the tech, we cover several different aspects of the Query Agent from question answering with citations, to schema introspection and typing for database querying, multi-collection routing, and the newly introduced Search Mode. We also discuss the Weaviate Query Agent's integration with the Cloud Console, a GUI home for the Weaviate Database! We are also super excited to share a case study from one of the Query Agent's power uses, MetaBuddy! The podcast concludes with the MetaBuddy case study and some exciting directions for the future development of the Query Agent.
Learn more about the GA release of Weaviate's Query Agent: weaviate.io/blog/query-agent-generally-available
Read the docs: docs.weaviate.io/agents
Chapters
0:00 Weaviate Query Agent
1:49 Welcome Charles!
2:41 From Alpha to GA
14:31 Python and TypeScript Client Design
20:25 Citations
25:04 Schema Introspection
36:49 Multi-Collection Routing
41:27 Search Mode
51:04 Cloud Console Integration
56:29 MetaBuddy Case Study
1:00:09 Future of the Query Agent
