AJG× Databricks

Arthur J. Gallagher & Co. Earnings Embeddings in Databricks

Query Arthur J. Gallagher & Co. earnings call vector embeddings natively in Databricks via Apache Iceberg. No ETL required — mount the VectorFin catalog and start querying in minutes.

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Ticker

AJG

Coverage

2020–present

Dims

768

Model

gemini-embedding-2-preview

Databricks query example

from pyspark.sql import SparkSession

spark = SparkSession.builder \
    .config("spark.sql.catalog.vectorfin", "org.apache.iceberg.spark.SparkCatalog") \
    .config("spark.sql.catalog.vectorfin.type", "rest") \
    .config("spark.sql.catalog.vectorfin.uri", "https://catalog.vectorfinancials.com/api/catalog") \
    .getOrCreate()

df = spark.table("vectorfin.embeddings.transcripts") \
    .filter("ticker = 'AJG' AND fiscal_period = '2024-Q4'") \
    .select("ticker", "fiscal_period", "chunk_idx", "embedding", "effective_ts")

df.show(10)

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