Master the Future of AI-Powered Data Analytics
Your comprehensive resource for learning Snowflake Cortex - from foundational concepts to advanced AI applications. Discover both free and paid training opportunities from Snowflake and the community.
Snowflake Cortex is an intelligent, fully managed AI service that provides access to industry-leading large language models (LLMs) and enables a broad array of AI/ML use cases in a fully-governed and secure environment within Snowflake.
Extract data from documents using Arctic-TILT, Snowflake's proprietary multimodal LLM. Process invoices, contracts, and various document types with zero-shot extraction and fine-tuning capabilities.
📖 View Documentation →Low-latency, high-quality hybrid search combining vector and keyword search. Powers RAG applications and enterprise search with automatic embedding and infrastructure management.
📖 View Documentation →Convert natural language questions into SQL queries with 90%+ accuracy using semantic models. Enables business users to query data without technical expertise.
📖 View Documentation →Native database objects that store business context, metrics, and dimensions. Bridge the gap between raw data and meaningful business insights for AI and BI tools.
📖 View Documentation →Orchestrate across structured and unstructured data sources. Plan tasks, execute tools, and generate responses using Cortex Search and Cortex Analyst capabilities.
📖 View Documentation →AI-powered SQL operators for complex data transformations. Filter, aggregate, and analyze data using LLM-like capabilities directly within SQL queries.
📖 View Documentation →Agentic experience for conversational analytics. Talk to your data, derive insights from trusted enterprise information, and initiate actions from a unified interface.
📖 View Blog Post →Built-in functions for sentiment analysis, translation, summarization, text generation, and more using industry-leading models like Llama, Mistral, and Arctic.
📖 View Documentation →Extract structured data from unstructured documents including PDFs, Word documents, and images. Parse text, tables, and other content using Snowflake's built-in document parsing capabilities.
📖 View Documentation →Generate high-quality vector representations of text data for semantic search, clustering, and similarity analysis. Powers AI applications with efficient vector storage and retrieval.
📖 View Documentation →Customize large language models for your specific tasks using parameter-efficient fine-tuning (PEFT). Train custom adaptors on your data for improved performance on domain-specific applications.
📖 View Documentation →Official Collection: https://quickstarts.snowflake.com/?cat=cortex
Learn: Conversational interface for structured data, semantic models, natural language to SQL conversion with 90%+ accuracy, REST API integration with Streamlit.
Learn: Build intelligent sales assistants combining structured/unstructured data analysis, hybrid search, stateless REST API, real-time streaming responses.
Learn: Analyze multilingual customer reviews, sentiment analysis, text categorization at scale, aspect-based sentiment analysis, generate actionable business insights.
Learn: Geospatial data analysis, location-centric applications, Snowflake Marketplace datasets, Cortex functions with Snowpark, interactive mapping with Streamlit.
Learn: Integrate Amazon Q Business with Cortex Search, OAuth authentication, end-to-end copilot workflows, unstructured data processing with PARSE_DOCUMENT().
Learn: Retrieval Augmented Generation (RAG), Snowpark Python PDF processing, Vector datatype, E5-base-v2 text embedding, interactive Streamlit applications for equipment maintenance.