System Architecture - Cogneus Platform

Infrastructure & Security

Comprehensive infrastructure supporting multi-database architecture, validation framework, and enterprise-grade security for safe data processing.

✨ JSON Data: MongoDB, Redis, CouchDB, File System

✨ Structured Data: SQL Database

✨ Vector DB: Pinecone, Chroma (and others as needed)

✨ Input Check: Schema, relationships, user access, examples, business rules

✨ Vector DB: Avoid duplicates, store unique examples

✨ SQL Queries: Block DML (INSERT, UPDATE, DELETE)

✨ No Data Sharing: Data never shared with LLMs

✨ Secure Environment: Queries run in isolated, secure environment

✨ Smart Features: Automated chart suggestions for results

Supporting infrastructure that enables the main workflow to function effectively through continuous learning, schema management, and configuration.

✨ Schema Management: Automated discovery and mapping of database structures

✨ Business Rules Engine: Define organizational policies and domain logic

✨ Prompt Engineering: Customizable templates guiding AI responses

✨ User Access Control: Role-based permissions and data governance

✨ Example Library: Training examples for improved query accuracy

✨ Continuous Learning: System adapts from user feedback over time

Core workflow handling the complete lifecycle of converting natural language queries into validated, secure SQL statements with real-time execution.

✨ Natural Language Input: Users query in plain English

✨ AI Translation: Advanced models convert to optimized SQL

✨ Security Validation: Enforce access controls and permissions

✨ Query Validation: Check for safety, performance, compliance

✨ Execution Engine: Run validated queries against database

✨ Results Delivery: Present data in user-friendly formats