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Improving Costs for Batch LLM Classification with Snowflake Cortex Search
The article presents a cost-effective approach to large-scale text classification by combining Cortex Search's vector database capabilities with Cortex Complete's LLM processing. By pre-filtering cate
gories using vector search, the solution achieves 51x cost savings while maintaining accuracy and reducing processing time from weeks to days.

Reasons to Read -- Learn:

  • how to reduce LLM processing costs by 51x for large-scale text classification tasks, with specific implementation details using Snowflake's Cortex tools
  • solving real enterprise classification challenges, such as categorizing 1M+ healthcare provider locations or retail products across 1000+ categories
  • practical implementation techniques for combining vector search with LLM processing, including code examples and performance metrics showing reduction in processing time from weeks to days
  • 5 min readauthor: Kaitlyn Wells
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