About AI with OCI GoldenGate

OCI GoldenGate helps you build AI-ready data pipelines by combining real-time data replication, vector processing, AI-powered transformations, and intelligent stream processing. You can use OCI GoldenGate to generate vector embeddings, replicate vector data, enrich data using AI services, apply machine learning models during transformation, and analyze streaming events using AI-powered processing patterns.

These capabilities help you build Retrieval-Augmented Generation (RAG) applications, semantic search platforms, recommendation systems, intelligent event processing solutions, and AI-driven analytics while ensuring that AI systems operate on current and trusted enterprise data.

OCI GoldenGate supports AI workloads across data replication, data transformation, and stream processing, enabling you to build end-to-end AI data pipelines that keep AI systems synchronized with operational data in real time.

Common AI Use Cases

• Retrieval-Augmented Generation (RAG)
• Semantic search
• Recommendation engines
• Fraud detection and anomaly detection
• Predictive maintenance
• Customer support copilots
• Intelligent event processing and alerting

Generate Embeddings During Replication

OCI GoldenGate data replication deployments support generating vector embeddings as part of the replication process using its AI Service integration. As you replicate transactional data, GoldenGate invokes external AI services to generate embeddings and store the resulting vectors in Oracle AI Database or other vector-enabled platforms.

This approach enables you to maintain vector stores in near real time without requiring separate batch embedding processes.

Common use cases include Retrieval-Augmented Generation (RAG), Semantic search, Knowledge base enrichment, Recommendation engines, and AI-powered customer support applications.

Learn more

• Create an AI Model connection
• Quickstart: Use AI Models in OCI GoldenGate to Create Vector Embeddings
• @AISERVICE documentation

Replicate Vector Data

OCI GoldenGate data replication deployments can migrate and replicate vector data across supported databases and environments. you can use OCI GoldenGate to consolidate vector data into Oracle AI Database, synchronize vectors across regions, or maintain consistency between operational and analytical systems.

Common use cases include consolidating embeddings into Oracle AI Database, maintaining synchronized vector stores across regions, and migrating vector-enabled applications to Oracle AI Database. This capability helps ensure that vector stores remain synchronized with operational systems and that AI applications always have access to the most current embeddings.

When replicating vector data, ensure that vector dimensions, numeric precision, storage formats, and embedding model versions remain consistent across environments to preserve semantic accuracy.

AI-Powered Data Preparation with Data Transforms

OCI GoldenGate Data Transforms provides AI capabilities that can be incorporated directly into data transformation workflows. Using OCI Generative AI integration, Data Transforms can generate embedding vectors, enrich data using AI services, apply machine learning models for classification and prediction, and prepare AI-ready datasets for downstream analytics and AI applications.

Learn more

• Create OCI Generative AI Connections
• Use Embedding Vectors in Data Flows
• Use Machine Learning Models in Data Flows

Real-Time AI Processing with Stream Analytics

OCI GoldenGate Stream Analytics deployments extend real-time data integration with AI and machine learning capabilities that operate directly on streaming data. These capabilities include pattern-based event detection, AI agent processing patterns, vector embedding and similarity analysis, and real-time machine learning scoring and prediction.

Common use cases include fraud detection, predictive maintenance, operational monitoring, anomaly detection, and intelligent alerting. These capabilities enable you to identify patterns and take action as events occur rather than relying solely on historical analysis.

Learn more

• Transform and Analyze Data Using Patterns
• Use AI Agent Patterns
• Use Vector Embedding and Similarity Patterns
• Use Machine Learning Models for Scoring and Prediction

Building AI Data Pipelines with OCI GoldenGate

OCI GoldenGate enables you to build AI-ready data architectures by continuously moving, enriching, transforming, and analyzing data as it changes. These capabilities help ensure that AI applications, vector stores, machine learning models, and real-time analytics platforms operate on current, trusted, and consistent enterprise data.

OCI GoldenGate is commonly used to populate and maintain Oracle AI Database vector stores that support semantic search and Retrieval-Augmented Generation (RAG) applications.