KLAC× Snowflake

KLA Corporation Earnings Embeddings in Snowflake

Query KLA Corporation earnings call vector embeddings natively in Snowflake via Apache Iceberg. No ETL required — mount the VectorFin catalog and start querying in minutes.

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Ticker

KLAC

Coverage

2020–present

Dims

768

Model

gemini-embedding-2-preview

Snowflake query example

-- Mount VectorFin Iceberg catalog in Snowflake
CREATE OR REPLACE ICEBERG TABLE KLAC_embeddings
  EXTERNAL_VOLUME = 'vectorfin_gcs'
  CATALOG = 'vectorfin_polaris'
  CATALOG_TABLE_NAME = 'embeddings.transcripts';

-- Query KLAC embeddings
SELECT ticker, fiscal_period, chunk_idx,
       VECTOR_COSINE_SIMILARITY(embedding, :query_vec) AS score
FROM   KLAC_embeddings
WHERE  ticker = 'KLAC'
  AND  fiscal_period = '2024-Q4'
ORDER  BY score DESC
LIMIT  10;

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