feat: add SQLAlchemy integration page

Adds integration page and logo for the sqlalchemy-haystack package,
which provides a SQLAlchemyTableRetriever component for querying
any SQLAlchemy-supported database from a Haystack pipeline.

Author: SyedShahmeerAli12

integrations/sqlalchemy.md

@@ -0,0 +1,110 @@
+---
+layout: integration
+name: SQLAlchemy
+description: Query any SQL database from a Haystack pipeline using SQLAlchemy
+authors:
+  - name: deepset
+    socials:
+      github: deepset-ai
+      twitter: deepset_ai
+      linkedin: https://www.linkedin.com/company/deepset-ai/
+pypi: https://pypi.org/project/sqlalchemy-haystack
+repo: https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/sqlalchemy
+type: Data Ingestion
+report_issue: https://github.com/deepset-ai/haystack-core-integrations/issues
+logo: /logos/sqlalchemy.png
+version: Haystack 2.0
+toc: true
+---
+
+**Table of Contents**
+
+- [Overview](#overview)
+- [Installation](#installation)
+- [Usage](#usage)
+- [Security](#security)
+- [License](#license)
+
+## Overview
+
+The SQLAlchemy integration provides a `SQLAlchemyTableRetriever` component that connects to any
+[SQLAlchemy](https://www.sqlalchemy.org/)-supported database, executes a SQL query, and returns
+results as a Pandas DataFrame and an optional Markdown-formatted table string.
+
+Supported backends include PostgreSQL, MySQL, MariaDB, SQLite, MSSQL, and Oracle — anything
+SQLAlchemy supports works out of the box.
+
+This component is designed for Text-to-SQL pipelines where an LLM generates a SQL query and the
+retriever fetches the corresponding rows for downstream processing.
+
+## Installation
+
+```bash
+pip install sqlalchemy-haystack
+```
+
+You also need to install the appropriate database driver for your backend:
+
+| Backend | Driver package |
+|---------|----------------|
+| PostgreSQL | `psycopg2-binary` or `psycopg[binary]` |
+| MySQL / MariaDB | `pymysql` or `mysqlclient` |
+| SQLite | built-in (no extra package needed) |
+| MSSQL | `pyodbc` |
+| Oracle | `cx_oracle` or `oracledb` |
+
+## Usage
+
+### SQLite (in-memory)
+
+```python
+from haystack_integrations.components.retrievers.sqlalchemy import SQLAlchemyTableRetriever
+
+retriever = SQLAlchemyTableRetriever(
+    drivername="sqlite",
+    database=":memory:",
+    init_script=[
+        "CREATE TABLE products (id INTEGER, name TEXT, price REAL)",
+        "INSERT INTO products VALUES (1, 'Widget', 9.99)",
+        "INSERT INTO products VALUES (2, 'Gadget', 19.99)",
+    ],
+)
+retriever.warm_up()
+
+result = retriever.run(query="SELECT * FROM products WHERE price < 15")
+print(result["dataframe"])
+print(result["table"])
+```
+
+### PostgreSQL
+
+```python
+from haystack.utils import Secret
+from haystack_integrations.components.retrievers.sqlalchemy import SQLAlchemyTableRetriever
+
+retriever = SQLAlchemyTableRetriever(
+    drivername="postgresql+psycopg2",
+    host="localhost",
+    port=5432,
+    database="mydb",
+    username="myuser",
+    password=Secret.from_env_var("DB_PASSWORD"),
+)
+retriever.warm_up()
+
+result = retriever.run(query="SELECT * FROM orders LIMIT 10")
+print(result["dataframe"])
+```
+
+
+## Security
+
+This component executes raw SQL queries at runtime. Keep the following in mind:
+
+- **Never pass unsanitised user input** directly as a query — this exposes you to SQL injection.
+- **Use a read-only database user.** Even if a malicious query is executed, a read-only user cannot modify or delete data.
+- **Restrict database permissions** to the minimum required — specific tables and schemas only, no DDL privileges (`CREATE`, `DROP`, `ALTER`).
+
+## License
+
+`sqlalchemy-haystack` is distributed under the terms of the [Apache-2.0](https://spdx.org/licenses/Apache-2.0.html) license.