MyQuery.AI Core Platform
Enterprise Data Engine & Air-Gapped Government AI Edition
Enterprise analytics platform translating natural language to multi-dialect SQL or noSQL queries with live streaming dashboards, universal database introspection, and an air-gapped on-premise edition bundling local LLMs and offline cryptographic validation.
- ▸Enterprise clients connecting high-volume analytics databases experienced heavy report generation bottlenecks taking 35–45 seconds per query.
- ▸Redundant natural language queries caused high LLM token waste by re-submitting complete database schemas repeatedly.
- ▸Strict government compliance required zero internet egress: the platform had to run fully air-gapped on-premise with offline cryptographic license validation.
- ▸Architected a two-tier Redis semantic cache where exact queries resolve in sub-10ms memory fetches and semantic vector hashes evaluate query similarity before invoking the LLM.
- ▸Engineered dynamic schema introspection that injects only relevant table relations into prompts rather than whole-database DDLs, slashing token payload by 80%.
- ▸Decoupled heavy query executions to BullMQ background workers with Server-Sent Events (SSE) streaming live progress to the Next.js frontend.
- ▸Integrated Payload CMS with PostgreSQL for dynamic multi-locale content governance across regional client interfaces.
- ▸Packaged an air-gapped container distribution bundling local LLMs, BGE-M3 embeddings, Whisper STT, and asymmetric offline licensing.

Client UI & API
Natural language query received by NestJS API Gateway from Client UI.









