Real-time Streaming CDC & Federated GraphRAG Guide
Series Hub | Previous Chapter: Part 3 — Late Chunking & Semantic Caching | Next Chapter: Part 5 — Enterprise Security & Data Poisoning Answer-first: Batch ETL pipelines introduce hours of data staleness and context drift, causing AI agents to retrieve obsolete enterprise records. Event-driven Change Data Capture using Debezium and Redpanda streams PostgreSQL WAL mutations directly into LanceDB and Apache Iceberg v3 lakehouses, guaranteeing sub-second vector index updates and zero ghost-context leaks across federated domain data meshes. ...