Insights & Articles
Practical thinking on AI architecture, data platforms, and building production systems.
HNSW Algorithm Explained for Solution Architects
A practical deep-dive into Hierarchical Navigable Small World (HNSW) graphs — the algorithm powering vector search in Pinecone, Weaviate, and pgvector. Understand it well enough to make smart architecture decisions.
From AI POC to Production: Architecture Blueprint
Most AI POCs die in the lab. This blueprint covers the architectural patterns, governance guardrails, and operational practices needed to move GenAI systems into production reliably.
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Snowflake Cost Governance Strategies
Practical techniques for managing Snowflake compute costs in enterprise environments — warehouse auto-suspend, query optimization, resource monitors, and budgeting frameworks.
Vector Databases vs Traditional Search: An Architect's Guide
When should you use a purpose-built vector DB vs Postgres with pgvector vs Elasticsearch? A decision framework with real cost and performance tradeoffs.
Designing Enterprise GenAI Agents with LangGraph
LangGraph patterns for building stateful, multi-agent AI systems with proper error handling, observability, and human-in-the-loop controls for enterprise deployments.
Informatica IDMC + Snowflake: Architecture Patterns
Best practices for integrating Informatica IDMC with Snowflake — connector patterns, CDC setup, transformation performance, and error handling at scale.