तकनीकी श्वेतपत्र
आर्किटेक्चर अवलोकन
Camile AI is built from the ground up for security, scalability, and reliability. This whitepaper details the architecture, data model, and security framework that power our intelligent agent platform.
Platform Architecture
Camile AI operates on a multi-agent orchestration framework where each entity — or agent — is an isolated, purpose-driven service with its own knowledge base, configuration, and communication channels.
Core Components
- Entity Engine — The runtime that manages agent lifecycle, state, and message routing.
- Knowledge Service — A vector-native retrieval system that ingests, indexes, and serves context from your data sources with sub-50ms lookup.
- Orchestrator — Coordinates multi-turn conversations, tool calls, and agent-to-agent handoffs.
- Guardrail Layer — Configurable policy enforcement for content moderation, access control, and compliance.
- Channel Adapters — Pluggable connectors for web chat, Slack, Telegram, WhatsApp, API, and more.
Security & Compliance
Security is embedded at every layer of the Camile AI platform. All data is encrypted in transit (TLS 1.3) and at rest (AES-256). The platform supports:
- SOC 2 Type II certification (in progress)
- GDPR-compliant data processing agreements
- HIPAA BAAs for healthcare deployments
- Role-based access control (RBAC) with audit logging
- On-premise and VPC deployment options for regulated industries
Performance & Scalability
The platform is designed for horizontal scaling. Each agent instance can handle thousands of concurrent conversations with median response latencies under 500ms. Auto-scaling infrastructure ensures consistent performance during traffic spikes.
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