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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.
A look at streaming RAG architecture and how to contextualize prompts in real time with domain-specific information so that patterns seen as most likely by LLMs actually align with the truth.
Building Real-Time AI Copilots with Confluent, Azure OpenAI, and Azure Data Services
Watch webinarGPT-4 + Streaming Data = Real-Time Generative AI
Watch webinar4 Steps for Building Event-Driven GenAI Applications
Read blogLearn where our Flink offering fits in the GenAI architecture and how it works with our vector database partners: Elastic, MongoDB, Pinecone, Rockset, 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.
“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.