Enterprise Knowledge Management with RAG

What this post added

Introduces a new capability: Real-time Enterprise RAG. Details the architecture including event streaming ingestion via CDC connectors, stream processing with Flink for chunking and PII redaction, real-time embedding generation, dynamic vector store upserts/deprecations, and a retrieval layer with RBAC. Highlights the data flow from content update to LLM output, emphasizing the role of Confluent as the event backbone for document ingestion, embedding updates, and context synchronization. Discusses core capabilities like continuous embedding updates and cross-system context synchronization with specific architectural enablers and real-life examples.