Bianca Lewis, executive director at the OpenSearch Software Foundation, discusses how OpenSearch has evolved since its 2021 fork from Elasticsearch. The project has grown from 700 million to 1.4 billion downloads under the Linux Foundation’s vendor-neutral governance, with over 400 companies contributing to the Apache V2 licensed platform.
The conversation explores OpenSearch’s approach to AI and vector search, emphasizing data sovereignty and open source philosophy over proprietary vendor lock-in. Lewis explains how OpenSearch provides safety mechanisms for agentic AI through full trace telemetry and anomaly detection, positioning the platform as a secure foundation for enterprise AI infrastructure.
Key takeaways:
• OpenSearch downloads doubled to 1.4 billion since Linux Foundation adoption
• Platform is model-agnostic, allowing companies to choose their preferred AI models
• Native security features include full trace telemetry for AI agent monitoring
• Major deployments include Nvidia’s Nemo platform, Atlassian’s 300+ clusters, and Changi Airport’s retail infrastructure
• Project maintains Apache V2 license for complete data sovereignty
Chapters:
0:10 – Introduction to OpenSearch
0:56 – Moving to the Linux Foundation
2:21 – OpenSearch growth metrics
3:10 – Feature development and vector search
3:41 – Open source vs proprietary platforms
7:01 – AI models and agentic systems
7:57 – Security and AI monitoring
14:33 – Major enterprise case studies
Keywords: OpenSearch, open source search, vector database, agentic AI, data sovereignty, Elasticsearch alternative, Linux Foundation, enterprise search, AI observability, search analytics