The Push-Based RAG: Building a Semantic Alerting Engine with Kafka and pgvector
Learn how to build a push-based RAG engine using Kafka and pgvector. This reverse-search architecture matches data streams against user intent vectors for real-time notifications.
The AI Feedback Loop: Engineering Reverse ETL to Sync RAG Insights back to Laravel
Learn to engineer a robust feedback loop by using Reverse ETL for AI to sync agentic conclusions from Python RAG workers back into your Laravel application via Kafka.
The Freshness Problem: Real-Time Vector Sync with Debezium and Kafka
Move RAG synchronization to the infrastructure level. Learn how Change Data Capture for Vector Search using Debezium and Kafka solves the dual-write problem and Update Storms.
Event-Driven Ingestion: Scaling Search Pipelines with Kafka and dbt
An enterprise data architecture tutorial focused on building a high-throughput search ingestion pipeline. We demonstrate how to break up transactional database dependencies by using Apache Kafka for immutable event routing, coupled with dbt incremental models to manage near-real-time data transformations smoothly at scale.