Engineering Blog

Hear directly from Snowflake’s technical leaders about what we build, why and how we build it, and how you can use it.

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Gen AI

Snowflake Cortex Analyst: Preventing Join Hallucinations and Double Counting

Snowflake Cortex Analyst introduces a new ability to support complex schemas, expanded our join capabilities beyond simple star and snowflake schemas to support multifact tables and measures spread across multiple tables.
FEB 20, 2025|15 min read
Data Engineering

Profiling Python Stored Procedures to Identify Inefficiencies

Optimize Snowpark Python stored procedures with the new built-in profiler, helping users identify inefficiencies, track execution time, and enhance performance.
FEB 19, 2025|5 min read
Gen AI

Arctic Agentic RAG Episode 1: Agentic Query Clarification for Grounded and Speedy Responses

Discover how Arctic Agentic RAG improves AI accuracy with agentic query clarification, delivering grounded, speedy responses for enterprise AI applications.
FEB 18, 2025|9 min read
Gen AI

Introducing Arctic Agentic RAG: Smarter, Faster and More Reliable AI for Enterprise

Arctic Agentic RAG — Snowflake’s next-gen AI framework for enterprise retrieval-augmented generation, delivering smarter, faster, and more reliable AI insights.
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FEB 18, 2025|5 min read
Gen AI

Snowflake’s Cortex Search: Unmatched Search Quality and Simplicity for All Your Search Needs

Unlock insights from unstructured data with Snowflake Cortex Search — delivering unmatched search quality, easy SQL-based deployment and AI-powered retrieval.
FEB 13, 2025|21 min read
Gen AI

Eval-Guided Optimization of LLM Judges for the RAG Triad

Learn how eval-guided optimization enhances LLM Judges for RAG systems, improving context relevance, and answer relevance with advanced benchmarking.
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FEB 04, 2025|8 min read
Gen AI

Benchmarking LLM-as-a-Judge for the RAG Triad Metrics

Evaluating RAG systems with LLM-as-a-Judge: explore our benchmarking results and learn how the RAG Triad metrics build trust in enterprise RAG systems.
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JAN 31, 2025|22 min read
Data Engineering

Creating Automated Optimizations for Python User-Defined Functions with Snowpark's Parallel Execution

Snowpark’s parallel execution optimizes Python UDF performance, addressing Python global interpreter lock and data skew with advanced redistribution techniques.
JAN 30, 2025|4 min read
Machine Learning

Machine Learning Models Require the Right Explanation Framework — and It’s Easy to Get Wrong

Learn the importance of using a robust explanation framework for machine learning models, ensuring accuracy, trust and understanding for better decision-making.
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JAN 23, 2025|7 min read

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