HTI Chat Engine - Ai Powered
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Platform Overview
Built for Real Enterprise Workloads
Every feature maps directly to production requirements — from token-accurate context budgeting to JWT-guarded multi-tenant routing
Multi-Stage RAG Pipeline
Retrieval → Query Expansion → ChromaDB Search → Cross-Encoder Reranking → Token-Budgeted Context Assembly → Mistral LLM Generation. Every stage is precision-tuned for enterprise accuracy.
Exact Token Budgeting
The Generator computes real token counts via the LLM's own tokenizer. History and context are binary-search truncated to fit within VRAM-detected n_ctx limits — no silent overflows.
Scheduled Maintenance Mode
Middleware-level 503 traffic routing with schedule-based auto-on/off. The Angular SystemService polls /api/health every 30s with exponential backoff, redirecting non-admin users to a maintenance screen.
Live SSE Token Streaming
Responses stream token-by-token via Server-Sent Events. The Angular frontend uses @microsoft/fetch-event-source for smooth real-time rendering with stop-generation support.
JWT Auth & Session Management
Secure JWT-based authentication with Angular Signals for reactive session state. Auto-refresh on expiry, bearer-token injection via HTTP interceptors, and role-scoped guards on every route.
Document Ingestion Pipeline
Supports PDF, DOCX, TXT, and Markdown up to 100MB. Files are chunked (500–1000 chars), embedded via Nomic v1.5, and indexed in tenant-isolated ChromaDB collections with real-time progress via SSE.
Products
RAG Engine
Key Capabilities
- Three Specialized AI Modes
- Enterprise Admin Console
- Granular Permission Matrix
- Data Scope Isolation
- Chat with the AI within scoped data
- Programmatic API Access
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