feat: Add Snowflake integration

[medsriha]

Related Issues

• fixes #issue-number

Proposed Changes:

Component that connects to a Snowflake database and retrieves data using a SQL query. This integration could be used standalone like such:

snowflake = SnowflakeRetriever(
    user="<ACCOUNT-USER>",
    account="<ACCOUNT-IDENTIFIER>",
    api_key=Secret.from_env_var("SNOWFLAKE_API_KEY"),
    warehouse="<WAREHOUSE-NAME>",
)

snowflake.run(query="""select * from table limit 10;"""")

Or within a pipeline for a text2SQL task, for example. See the attached example for reference.

Missing items:

• Packaging and upload to PyPi
• Add snowflake.md to haystack-integrations

How did you test it?

unit tests

Checklist

• I have read the contributors guidelines and the code of conduct
• I have updated the related issue with new insights and changes
• I added unit tests and updated the docstrings
• I've used one of the conventional commit types for my PR title: fix:, feat:, build:, chore:, ci:, docs:, style:, refactor:, perf:, test:.

[davidsbatista]

Good work @medsriha!

I left a few comments, nothing big.

Regarding the tests please add serialization/deserialization of a pipeline with this component on it, see here an example: https://github.com/deepset-ai/haystack-core-integrations/blob/main/integrations/google_vertex/tests/test_gemini.py#L261

[medsriha]

Thank you for reviewing this, @davidsbatista. I have also updated the object name from SnowflateRetriever to SnowflakeTableRetriever to clarify what this integration aims to achieve. Snowflake also offers a vector database, which we may consider integrating in the future.

[davidsbatista]

LGTM