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Unleash cutting-edge GenAI with a data streaming platform. Build RAG use cases with real-time, contextual and trustworthy data for your LLMs, vector databases, and GenAI applications.
Join AI experts at Confluent and Elastic for a new demo webinar that shows step by step how to build a RAG application.
Build Your GenAI Stack with Confluent and AWS for Real-Time Use Cases
Watch webinarHow Developers Can Use Generative AI to Improve Data Quality
Read articleHow to Build RAG Using Confluent with Flink AI Model Inference and MongoDB
Watch webinarCatch up on the livestream from AI Day, featuring a keynote, AI panel discussion, and RAG workshops with Confluent, MongoDB, and AWS. Also see hackathon participants share their GenAI apps on stage.
Learn where our Flink offering fits in the GenAI architecture and how it works with our vector database partners: Elastic, MongoDB, Pinecone, SingleStore, Weaviate, and Zilliz.
Learn how Confluent and Google Cloud accelerate customers’ ability to adopt cutting-edge AI workloads across their environments.
Pinecone and Confluent reduce friction for developers with a 3-click integration, bringing streaming data to the vector database.
"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."
"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."
“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.”
“We built an AI platform designed for mission-critical use cases—in industries where businesses simply can’t afford to be wrong. Our interactive reasoning engine requires a continuous supply of data that’s reliable, trustworthy, and fresh. Confluent’s data streaming platform makes that possible, and enables us to mix and match data from different systems and optimize it for contextually rich insights and answers in real time.”
Build a real-time, contextualized, and trustworthy knowledge base for your GenAI applications.