Great systems often begin as simple modules solving a specific problem, then grow into complex architectures to meet needs at scale. Many of today's databases and infrastructure tools followed this path—and Milvus vector database was no different.
In this talk, Rohit Nijhawan from Zilliz will walk through how search engines have managed and retrieved unstructured data over time, and what the rise of Generative AI and agentic workflows now demands from a mature vector database. You’ll see how open-source Milvus evolved into a scalable, highly reliable architecture built to deliver rich LLM context and power highly accurate, agent-driven search applications.
Speaker
Rohit Nijhawan
Sr Solutions Architect @Zilliz
Rohit is a Sr Solutions Architect at Zilliz - the founders of Milvus Vector Database. He takes on the challenge of deployments on the cloud - fine tuning, optimizing, and scaling distributed software; and has done so in his prior career.
Rohit has trained and mentored new developers on to MongoDB, Hadoop, and Spark. He also contributed to Disaster Recovery practice and solutioning at Databricks.
He spoke at Hadoop Summit about HBase, MongoDB and Solr.
A graduate of Universify of Waterloo (Canada), he believes in staying current with the evolving technology, learning, teaching, and pushing the boundaries with novel architectures for data storage and processing systems. He is also passionate about teaching and developing curricula.
Find Rohit Nijhawan at:
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