[Virtual Event] Agentic AI Streamposium: Learn to Build Real-Time AI Agents & Apps | Register
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Unleash cutting-edge GenAI and agentic AI with a data streaming platform. Bring real-time, contextual and trustworthy data to your LLMs, vector databases, agents, and RAG applications.
What's Trending
Introducing Streaming Agents - Now Available on Confluent Cloud
Deliver intelligent automation with event-driven Streaming Agents that monitor and act on the business in motion
How to Build Enterprise AI Agents with Databricks + Confluent
A Guide to Event-Driven Design for Agents and Multi-Agent Systems
The Developer's Guide to RAG
Try the Real-Time Context Engine
Serve fresh context via Model Context Protocol (MCP) to any AI agent and application anywhere, enabling smarter AI decision-making for more reliable outcomes.
Confluent joins MongoDB's AI Applications Program (MAAP)
Learn how Confluent integrates seamlessly with MongoDB and Atlas Vector Search to help build the trusted, always-up-to-date data foundation essential for GenAI applications.
Read announcement Open GenAI quickstart
Partnering with the Elastic AI Ecosystem
AI is only as effective as the data powering it, which is why Confluent is an integration partner in the Elastic AI Ecosystem to help accelerate AI application development.
Flink + vector databases
Learn where our Flink offering fits in the GenAI stack and how it works with our vector database partners: Elastic, MongoDB, Pinecone, SingleStore, Weaviate, Zilliz, and more.
Real-Time AI Use Cases
AI-Powered Supply Chain at GEP Worldwide
Hear GEP's story on using data streaming in their AI stack to help power a GenAI chatbot that provides real-time, contextualized insights for enterprise customers.
Scaling AI Agents at Reworkd
Combining LLMs with Confluent data streaming makes it possible to scale agents that can write, test, and iterate on web scraping code.
Live Recommendations at Whatnot
AI projects can only be successful with fresh, accurate data. Real-time streaming powers in-the-moment product recommendations for greater user engagement.
AI Service Chatbot at Penske
Learn how Penske is using the power of data streaming and AI to drive better customer experiences, including maximizing fleet uptime for its trucking customers.
"To save our users time, write faster, and boost creativity, they need access to the latest documents at all times. Our partnership with Confluent has been transformative. We use Confluent to process and share new content and updates across all databases in real time, ensuring every system has a reliable view of the documents. Confluent lets our product and engineering teams use data products to build new RAG-based applications faster, without worrying about data infrastructure. This speeds up our GenAI use cases."
Daniel Sternberg
Head of Data and AI, Notion
"With Confluent, we help build AI copilots that allow users to interact with their data in natural language, turning Flink jobs into agents that continuously monitor data streams. Flink AI Model Inference simplifies our stack and lets us work directly with LLMs and vector databases for RAG, providing real-time context to generate the most accurate Flink SQL queries. Using the Confluent Data Streaming Platform, we’re accelerating business copilot adoption."
Steffen Hoellinger
Cofounder and CEO, Airy
“Confluent data streaming platform is the backbone of our multi-agent platform, which provides a drag-and-drop interface that makes building multi-agent systems (MAS) accessible by anyone. With fully managed connectors and Stream Governance, Confluent enables real-time agent orchestration, observation, and governance... allowing us to iterate faster and ship new features weekly.”
Saul Sparber
Founder and CEO, Agent Taskflow
"Our product uses GenAI to write code to extract data from websites as well as Agentic AI to test and validate results. We rely on Confluent's data streaming platform, including connectors and stream governance, to stream GenAI and Agentic AI outputs across our architecture for our customers, tracking token usage and enabling accurate billing. Confluent makes it easy for us to iterate quickly and build new AI features in days instead of weeks."
Adam Watkins
Cofounder and CTO, Reworkd AI
“We built a real-time GenAI chatbot to help enterprises identify risks and optimize their procurement and supply chain operations. Confluent allows our chatbot to retrieve the latest data to generate insights for time-sensitive situations. We use Confluent connectors for our data stores, stream processing for shaping data into various contexts, and Stream Governance to maintain trustworthy, compatible data streams so our application developers can build with real-time, reliable data faster.”
Nithin Prasad
Engineering Manager, GEP Worldwide
“Everyone wants AI—but the hard part is getting high-quality data moving in real time. The Confluent data streaming platform makes that possible for us. It’s the foundation that gets our data moving and gets it where it needs to be.”
Chris Kapp
Software Architect, Henry Schein One
Why Confluent Data Streaming Platform
Build a real-time, contextualized, and trustworthy knowledge base for your GenAI applications.
\ \ \ \ Stream \ \ Continuously capture and share real-time events with AI systems and applications.](/content/confluent-cloud/index.html)
\ \ \ \ Connect \ \ Integrate disparate data from any environment with 120+ pre-built and custom connectors.](/content/product/confluent-connectors/index.html)
\ \ \ \ Process \ \ Use Flink stream processing to enrich data with real-time context at query execution.](/content/product/flink/index.html)
\ \ \ \ Govern \ \ Use data lineage, quality controls and traceability to ensure data for AI is secure and verifiable.](/content/product/stream-governance/index.html)
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