Context is the bottleneck for next-generation AI development. While static indexing is common, the ability to perform real-time context engineering on active codebases remains a significant hurdle for many organizations. Without fresh data, troubleshooting becomes guessing.
In this session, we will break down how to architect a solution using CocoIndex and VeloDB that ensures your context is always up to date. We will look at the specific outcomes of pairing these technologies, focusing on high-speed indexing and search, and the advantages of hybrid search for pinpoint accuracy.
The session will include a live demo showing using CocoIndex and VeloDB for continuous index updates and real-time search results as the codebase changes.
Speakers
Linghua Jin, CEO and Co-founder, CocoIndex
Kevin Shen, Principal Product Manager, VeloDB
Tom Zhang, Solution Architect, VeloDB


