BK× Databricks

The Bank of New York Mellon Corporation Earnings Embeddings in Databricks

Query The Bank of New York Mellon Corporation 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

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

df.show(10)

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