Agentic AI Meets Real-time Data with Streaming Agents
Blog post from Vectara
Vectara and Confluent have announced a partnership that enhances the capabilities of Streaming Agents on Confluent Cloud with the introduction of a Real-Time Context Engine, aimed at improving the efficiency and reliability of AI-driven decision-making. This collaboration allows developers to build and manage event-driven agents using Apache Flink and Apache Kafka, optimizing the processing of real-time, context-rich data to ensure accurate and trustworthy AI responses. The integration of Vectara’s AI Agent Platform provides a robust system for indexing and retrieving real-time data, which is vital for maintaining data integrity and compliance, particularly in high-stakes environments like financial services. By embedding the latest data into streams, the combined solution supports real-time governance, security, and observability, thus accelerating the deployment of AI agents for various enterprise applications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 26 | 7,274 | 1,416 | 290 | +46% |
| RAG | 13 | 1,153 | 240 | 106 | -1% |
| AI Agents | 8 | 3,787 | 746 | 221 | +20% |
| Observability | 3 | 2,678 | 558 | 161 | +48% |
| Vector Search | 2 | 1,930 | 378 | 159 | +7% |
| Data Pipeline | 1 | 826 | 284 | 86 | +49% |
| LLM | 1 | 4,920 | 823 | 249 | +10% |
| Multi-agent systems | 1 | 301 | 103 | 66 | -41% |
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