How to Build GenAI apps Faster with Confluent’s Connectors
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Building and deploying GenAI applications can be complex, especially when your data is fragmented across disconnected systems. This live demo showcased a more efficient, real-time approach to data integration and processing—essential for accelerating GenAI projects.
Why PARTICIPANTS AttendED This Live Session?
If you’re working on RAG (Retrieval-Augmented Generation) architecture or facing delays due to slow batch processing or siloed data, this session was for you. You would have seen how to streamline AI pipelines using real-time data streaming, eliminate bottlenecks, and seamlessly update vector databases using a fully managed solution.
What THEY discoverED during this session
- How to build a real-time knowledge base for RAG using a data streaming platform
- How to use Flink SQL to generate vector embeddings within your data pipeline
- How to configure a MongoDB Atlas Vector Search sink connector for real-time updates
- How Confluent’s 120+ pre-built connectors can accelerate GenAI development by integrating diverse enterprise data sources in real time