llama-index-packs-snowflake-query-engine 0.3.0

llama-index packs snowflake_query_engine integration

Snowflake Query Engine Pack

This LlamaPack uses snowflake-sqlalchemy to connect to Snowflake, then calls NLSQLTableQueryEngine to query data.

Usage

You can download the pack to a the ./snowflake_pack directory:

from llama_index.core.llama_pack import download_llama_pack

# download and install dependencies
SnowflakeQueryEnginePack = download_llama_pack(
    "SnowflakeQueryEnginePack", "./snowflake_pack"
)

From here, you can use the pack, or inspect and modify the pack in ./snowflake_pack.

NLSQLTableQueryEngine uses OpenAI models by default, ensure you set your OpenAI API key.

You can set up the pack by passing in the Snowflake connection details and the table(s):

# create the pack
snowflake_pack = SnowflakeQueryEnginePack(
    user="<USER>",
    password="<PASSWORD>",
    account="<ORG>-<ACCOUNT>",
    database="<DATABASE>",
    schema="<SCHEMA>",
    warehouse="<WAREHOUSE>",
    role="<ROLE>",
    tables=["<TABLE1>", "<TABLE2>", ...],
)

The run() function is a light wrapper around query_engine.query(). See below a sample query run. You can add additional prompt in the query text.

response = snowflake_pack.run(
    "Give me the repo id with the most stars on 2023-12-01."
)