ImBoard's answer
Backend & Infrastructure: The backend is built for security, type safety, and scalability.
Core Logic: Node 20 with Express (using strict TypeScript).
Database & Vector Index: MongoDB Atlas (leveraging Mongoose for data modeling) and its integrated Vector Search (HNSW) for fast semantic search over documents.
Hosting: Heroku + AWS (indicating a robust, distributed environment).
Frontend & User Experience (UX) The frontend emphasizes a modern, fast, and feature-rich user interface.
- Core Framework: React 18 paired with TypeScript (Vite as the build tool).
- UI/Design: MUI Joy UI (likely for polished, modern components) and Phosphor Icons.
- State & Forms: React Router v6 (for navigation), React Hook Form + Zod (for form management and validation).
- Data Visualization: Recharts (used for dashboards, supporting the "structured reporting" feature).
AI/ML Services (The Core Differentiator)
The AI stack is highly tailored to ensure accuracy and low-ambiguity, which is essential for a governance product.
Core Strategy: The primary feature is structured reporting, which uses internal schemas to feed LLMs, ensuring insights are grounded in clean, low-ambiguity data (unlike models trained on arbitrary documents).
Large Language Models (LLMs): OpenAI GPT-4o (used for classification, summarization, and assistant-style help).
Embeddings: OpenAI text-embedding-3-small (for general semantic search and deduping), with text-embedding-3-large used when higher recall is required.
Optical Character Recognition (OCR): Mistral Document AI (OCR) (used for extracting text from uploaded documents).
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