A step-by-step tour of the architecture powering grounded, workspace-isolated Oracle ERP answers.
Upload Oracle PDFs, Word docs, or just ask a question. The RAG ingestion pipeline extracts text, redacts sensitive data, chunks content, and generates high-dimensional vector embeddings for semantic search.
Each question runs against a workspace-isolated vector store. Relevant chunks surface from both your uploaded documents and Oracle public knowledge, ranked by similarity.
A specialist OAG Consultant Agent receives the grounded context and your question, then drafts an answer, SQL query, PL/SQL script, or solution blueprint — with source citations.
Read queries execute directly against your Oracle instance. Write operations are allowlist-gated by default — the agent drafts them and you approve before execution. Production writes require explicit opt-in.
Answers, blueprints, and SQL appear in the IDE. Download formatted exports as PDF or Excel for client sign-offs, audit trails, or your knowledge library.
The self-learning engine captures corrections and builds project memory over time. Next time you ask a similar question, the agent already knows your ERP setup and preferences.
Everything listed here is verified against the codebase — no marketing fluff.
Application Framework
Next.js App Router, React RSC, Modern UI Architecture
AI Swarm Engine
OAG Multi-Agent Swarm, 40+ Specialist ERP Agents
Language Intelligence
OAG Enterprise ERP Reasoning Engine
Vector Indexing
High-Dimensional Semantic Vector Embeddings
Workspace Storage
Tenant-Isolated Vector Store with Cosine Similarity
Oracle ERP Access
Oracle EBS R12 (ISG REST, PL/SQL wrapper) & Fusion Cloud REST
Billing & Checkout
Automated Invoice Generation & Verified Payment Gateway
Identity & Governance
Google SSO Authentication, AES-256-GCM Encryption, Session Revocation
Cloud Infrastructure
High-Availability Serverless Cloud Engine
The live demo on the homepage runs against the real API. Sign in with Google to get your own workspace.
