# Create Embeddings with Confluent Cloud for Apache Flink Confluent Cloud for Apache Flink® supports creating embeddings for Retrieval-Augmented Generation (RAG) workflows from Kafka topics and Flink tables. An embedding is a numerical representation that captures relationships and meaning within complex data. In a Retrieval-Augmented Generation (RAG) workflow, an embedding helps to retrieve the most relevant information, ensuring AI delivers precise, context-aware results. - [Create Embeddings with Confluent Cloud for Apache Flink](embedding-action.md#flink-sql-embedding-action) ## Related content - [AI_EMBEDDING function](../../flink/reference/functions/model-inference-functions.md#flink-sql-ai-embedding-function) - [Built-in AI/ML Functions](../builtin-functions/overview.md#ai-builtin-functions-overview) - [Searches over External Tables](../external-tables/overview.md#ai-external-tables-overview) #### NOTE This website includes content developed at the [Apache Software Foundation](https://www.apache.org/) under the terms of the [Apache License v2](https://www.apache.org/licenses/LICENSE-2.0.html).