HIG× Databricks

The Hartford Financial Services Group Inc. Earnings Embeddings in Databricks

Query The Hartford Financial Services Group Inc. 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

HIG

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 = 'HIG' AND fiscal_period = '2024-Q4'") \
    .select("ticker", "fiscal_period", "chunk_idx", "embedding", "effective_ts")

df.show(10)

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