Apache Kafkaยฎ๏ธ ๋น์ฉ ์ ๊ฐ ๋ฐฉ๋ฒ ๋ฐ ์ต์ ์ ๋น์ฉ ์ค๊ณ ์๋ด ์จ๋น๋ | ์์ธํ ์์๋ณด๋ ค๋ฉด ์ง๊ธ ๋ฑ๋กํ์ธ์
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Author: Mayank Juneja
Introducing Real-Time Embeddings: Any Model, Any Vector DatabaseโNo Code Needed
Confluentโs Create Embeddings Action for Flink helps you generate vector embeddings from real-time data to create a live semantic layer for your AI workflows.
Let Flink Cook: Mastering Real-Time Retrieval-Augmented Generation (RAG) with Flink
With AI model inference in Flink SQL, Confluent allows you to simplify the development and deployment of RAG-enabled GenAI applications by providing a unified platform for both data processing and AI tasks. Learn how you can use it to build a RAG-enabled Q&A chatbot using real-time airline data.