Snowflake Loader

pip install llama-index-readers-snowflake

This loader connects to Snowflake (using SQLAlchemy under the hood). The user specifies a query and extracts Document objects corresponding to the results. You can use this loader to easily connect to a database on Snowflake and pass the documents into a GPTSQLStructStoreIndex from LlamaIndex.

Usage

Option 1: Pass your own SQLAlchemy Engine object of the database connection

Here's an example usage of the SnowflakeReader.

from llama_index.readers.snowflake import SnowflakeReader

reader = SnowflakeReader(
    engine=your_sqlalchemy_engine,
)

query = "SELECT * FROM your_table"

documents = reader.load_data(query=query)

Option 2: Pass the required parameters to esstablish Snowflake connection

Here's an example usage of the SnowflakeReader.

from llama_index.readers.snowflake import SnowflakeReader

reader = SnowflakeReader(
    account="your_account",
    user="your_user",
    password="your_password",
    database="your_database",
    schema="your_schema",
    warehouse="your_warehouse",
    role="your_role",  # Optional role setting
    proxy="http://<username>:<password>@myproxy:port",  # Optional proxy setting
)

query = "SELECT * FROM your_table"

documents = reader.load_data(query=query)

Author

Godwin Paul Vincent

This loader is designed to be used as a way to load data into LlamaIndex.