Feat/sqlalchemy integration#3098
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Closes deepset-ai#3077 - Adds SQLAlchemyTableRetriever component supporting any SQLAlchemy-compatible database - Returns results as a Pandas DataFrame and Markdown-formatted table string - Supports optional init_script executed on warm_up() - Respects MAX_SYS_ROWS row limit (default 10,000) - Uses StaticPool for SQLite in-memory to share state between connections - Includes to_dict/from_dict serialization with Secret support - Adds GitHub Actions workflow, labeler, coverage, and README table entry
… Python 3.14 support
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Hello @davidsbatista This adds a minimal SQLAlchemyTableRetriever component that executes a SQL query via |
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Closes #3077
Adds a new
sqlalchemy-haystackintegration with aSQLAlchemyTableRetrievercomponentthat connects to any SQLAlchemy-supported database (PostgreSQL, MySQL, SQLite, MSSQL,
etc.) and runs SQL queries, returning results as a Pandas DataFrame and Markdown table.
Test plan