Stop Treating Your Users Like Strangers: Identity Resolution for RAG
Move beyond generic RAG. Discover how to use identity resolution and RudderStack Profiles to build a behavioral context layer for truly personalized AI assistants.
The Business Logic Ranker: Using Vespa.ai Tensors to Inject Profitability into RAG Results
Moving beyond similarity with Vespa.ai Tensor Ranking Expressions allows developers to weigh user intent against real-time signals like profit margins and inventory status in RAG systems.
The PR is a Lie: Why Your 2026 Engineering Metrics Must Stop Counting Code
Stop measuring code volume. As AI agents flood repos with boilerplate, engineering leadership must pivot to measuring architectural integrity and context preservation.
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 Semantic Cache: Reducing LLM Latency and Costs with pgvector
Cut LLM latency and API bills by implementing a semantic cache with pgvector. Learn to handle the embedding tax and optimize HNSW indexing for similarity-based query retrieval.
The Vector ETL: Offloading Document Chunking to dbt Python Models
Learn how to offload resource-heavy document chunking from application workers to your data warehouse using dbt Python models for RAG, ensuring lineage and scalability for AI pipelines.
Stop Hiring Prompt Engineers: The Case for Data Rigor in AI-Native Teams
Stop relying on prompt engineering to fix broken retrieval. Discover why context engineering and data pipeline rigor are the foundations of a modern AI engineering team structure.
The Semantic Data Warehouse: Modeling Vector-Relational Hybrids with dbt and Snowflake
Stop treating vectors as sidecars. Learn how to model embeddings directly in Snowflake using dbt to optimize RAG performance, handle model drift, and manage semantic-relational joins at scale.
Changing Tires at 100 MPH: Zero-Downtime Schema Evolution in Vespa.ai
Master zero-downtime Vespa.ai schema migration using the shadow field backfill pattern and Visit API to update embedding dimensions without service interruption.