Empowers AI agents to retrieve schema context, validate intent, and fetch live business data directly from Oracle Fusion Cloud with real-time SQL execution.
Sponsored
ofrag is a specialized Retrieval-Augmented Generation (RAG) engine designed for Large Language Models, enabling them to converse with Oracle Fusion Cloud ERP systems. It acts as a cognitive force multiplier for AI, providing local schema caching, semantic search, and real-time SQL execution. This dramatically speeds up data access for analysts and consultants by allowing natural language queries and offering precise, local SQL linting and AST parsing feedback to AI agents, thereby enhancing their ability to generate and refine accurate SQL queries without heavy database load.
主な機能
01Semantic search for schema discovery and identifier lookup
021 GitHub stars
03Real-time SQL execution against live Oracle Fusion instances
04Module Context Analyzers for understanding data structures
05Local Oracle Fusion schema caching
06Agentic SQL parsing and linting with Abstract Syntax Tree (AST) checking
ユースケース
01Consultants quickly validating and iterating on SQL queries without BI Publisher
02Analysts querying complex ERP data using natural language
03AI agents autonomously generating and refining accurate SQL queries for Oracle Fusion