Leveraging RAG with Gemma for Enhanced PLSQL to PGSQL Translation

RAG with Gemma

Are you struggling with the complexities of migrating Oracle PL/SQL databases to PostgreSQL? Discover how the groundbreaking integration of Retrieval-Augmented Generation (RAG) with the Gemma migration tool can revolutionize your cloud migration journey. Gain insights into enhanced translation quality, streamlined migration processes, reduced costs, and future-proofing strategies for seamless transitions.

As organizations strive to stay competitive and efficient, many are turning to PostgreSQL, attracted by its open-source model, advanced features, and cost-effectiveness compared to Oracle’s PL/SQL database system. However, the migration journey from PL/SQL to PGSQL is paved with technical challenges, primarily translating complex database scripts while preserving functionality and performance. This blog delves into how the integration of Retrieval-Augmented Generation (RAG) with the Gemma migration tool can revolutionize this process, ensuring smooth, accurate, and efficient database translation.

What is RAG?

Retrieval-Augmented Generation (RAG) represents a groundbreaking advancement in artificial intelligence, blending the predictive prowess of neural networks with the precision of targeted information retrieval. This hybrid model accesses a vast database of information, selecting relevant details to inform its output generation. For coding tasks, this means RAG can draw upon a wealth of code examples, technical documentation, and developer forums to guide its translations, resulting in outputs that are not only accurate but also optimized for performance and maintainability.

The Magic Behind RAG

The magic of RAG lies in its two-step process. First, the retrieval step uses a query against a database of documents to find relevant information. This step is crucial for understanding the context and nuances of the PL/SQL code. Next, the generation step synthesizes this information, creating accurate and idiomatic PGSQL code. This process mirrors how a seasoned developer might approach code translation, first researching and then synthesizing knowledge into a new solution.

What is Gemma?

Gemma represents the cutting edge in database migration tools, designed specifically to ease the transition between different database technologies. It automates not only data and schema migration but also the intricate process of code translation, targeting the specific challenges of converting PL/SQL to PGSQL. Gemma’s functionality is designed to reduce the manual workload, speed up the migration process, and minimize errors that can arise during manual translation.

Gemma’s Core Features

      • Schema Conversion: Gemma analyzes the source database schema, converting it into a compatible schema for the target database system.
      • Data Migration: It ensures the accurate and efficient transfer of data from the source to the target database, considering differences in data types and structures.
      • Code Translation: Gemma translates stored procedures, functions, triggers, and other PL/SQL scripts into their PGSQL equivalents, preserving logic and performance.

Integrating RAG with Gemma

The fusion of RAG’s AI capabilities with Gemma’s migration toolkit promises a revolution in database migration efficiency and accuracy. This section elaborates on the three primary phases of their integration: Enhanced Understanding, Accurate Translation, and Validation and Optimization.

Enhanced Understanding

RAG extends Gemma’s capacity to grasp complex PL/SQL constructs by tapping into a broad knowledge base, drawing from official documentation, community forums, and a corpus of migrated code. This ensures a comprehensive understanding of the PL/SQL code’s intent, including intricate logic and specialized Oracle functionalities that might not have direct equivalents in PostgreSQL.

Accurate Translation

With the insights gained, RAG aids Gemma in crafting PGSQL translations that are not only syntactically correct but also optimized for PostgreSQL’s execution model. This step involves leveraging machine learning to predict the most effective translation patterns, considering PostgreSQL-specific features and performance optimizations. The goal is to produce code that performs as well, if not better, than the original PL/SQL scripts.

Validation and Optimization

Post-translation, RAG plays a crucial role in validating the translated PGSQL code against functional and performance criteria. It identifies potential issues, such as inefficient query patterns or non-idiomatic usage, suggesting refinements to align with PostgreSQL’s best practices. This phase is critical for ensuring that the migrated database system is ready for deployment, offering performance and reliability that match or exceed the original Oracle system.

Benefits of the RAG-Gemma Integration

Integrating RAG with Gemma introduces several key advantages to the migration process:

      • Enhanced Translation Quality: The combination of RAG’s context-aware generation and Gemma’s migration expertise results in high-quality PGSQL code that faithfully replicates the functionality of the original PL/SQL scripts.
      • Streamlined Migration Process: This approach significantly reduces the time and effort required to translate complex database code, automating tasks that would typically require extensive manual review and rewriting.
      • Reduced Migration Costs: By minimizing the need for post-migration fixes and optimizations, organizations can save on the costs associated with database experts and developers fine-tuning the migrated code.
      • Future-proofing: The RAG-Gemma integration not only supports current migration projects but also evolves with advancements in AI and database technologies, ensuring that this solution remains effective for future migrations.


The innovative integration of Retrieval-Augmented Generation with Gemma represents a significant leap forward in database migration technology. By harnessing the latest in AI research and development, this approach offers a scalable, efficient, and highly accurate pathway for migrating PL/SQL code to PGSQL. As the database landscape continues to evolve, leveraging such advanced technologies will be key to enabling organizations to navigate transitions smoothly, ensuring their data systems remain robust, scalable, and aligned with their strategic objectives.

Empower Your Migration Journey with Newt Global DMAP

Ready to experience the transformative power of RAG and Gemma in your Oracle to PostgreSQL migration? Visit newtglobal.com  to learn more about our innovative Database Migration Acceleration Platform (DMAP). For inquiries and consultations, reach out to us at marketing@newtglobalcorp.com. Newt Global DMAP is a world-class product enabling mass migration of Oracle databases to cloud-native PostgreSQL faster, better, and cheaper.