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Using Snowflake Cortex with Anthropic Claude to Find Information in Home Appliance Manuals
A practical guide to building a RAG (Retrieval Augmented Generation) system using Snowflake Cortex and Anthropic's Claude to enable semantic search through home appliance manuals. The system processes
PDF manuals and uses vector embeddings to provide accurate answers to user queries about their appliances.

Reasons to Read -- Learn:

  • how to build a practical RAG system that can process and search through PDF documents using Snowflake Cortex and Anthropic's Claude, with step-by-step instructions from PDF processing to final implementation.
  • how to set up and configure Snowflake Cortex Search service for semantic search capabilities, including specific parameters for optimal performance with vector embeddings and document processing.
  • how to integrate Python code with Snowflake's ecosystem, including working with the Snowpark session, Cortex Search service, and the COMPLETE LLM function for building an end-to-end question-answering system.
  • 9 min readauthor: Maja Ferle
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