Secure RAG for SQLAlchemy and pgvector

Secure RAG for SQLAlchemy and pgvector

Secure RAG for SQLAlchemy and pgvector is a powerful tool designed to enhance the security of Retrieval-Augmented Generation (RAG) pipelines. It integrates with SQLAlchemy and pgvector, allowing developers to apply fine-grained authorization directly to database queries. This integration ensures that data leaks in LLM apps are prevented, permissions are simplified, and AI features are built more securely using Python and SQLAlchemy.

Benefits

Secure RAG for SQLAlchemy and pgvector offers several key advantages:

• Fine-Grained Authorization: Apply detailed permissions directly to database queries, including those using pgvector, without writing custom SQL.
• Prevent Data Leaks: Ensure that only authorized data is accessed, reducing the risk of data breaches in LLM applications.
• Simplified Permissions: Streamline the management of permissions, making it easier to maintain and update access control policies.
• Safer AI Features: Build AI features with confidence, knowing that your data is protected by robust authorization mechanisms.

Use Cases

Secure RAG for SQLAlchemy and pgvector is particularly useful in scenarios where data security and access control are critical. Some common use cases include:

• LLM Applications: Securely manage data access in applications powered by large language models, ensuring that users only see data they are authorized to view.
• Database Management: Apply fine-grained authorization to database queries, enhancing the security of data retrieval and manipulation processes.
• AI Development: Build AI features with built-in security measures, ensuring that data is protected throughout the development and deployment phases.

Vibes

Duolingo, a leading language-learning platform, migrated to Oso to simplify authorization and improve developer productivity. Previously, permission changes took hours or even days. With Oso, they now take minutes. This migration allowed Duolingo to focus on core business features instead of workarounds, demonstrating the effectiveness of Secure RAG for SQLAlchemy and pgvector in real-world applications.

Additional Information

Oso Sync, a related tool, ensures that authorization data stays consistent between applications and Oso Cloud. It detects and fixes data drift caused by issues like latency or manual changes, supporting PostgreSQL, MongoDB, and CSVs for other databases. Oso Sync offers both reporting and automatic updates, further enhancing the security and reliability of data access control.