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Knowledge Base // Architecture
Frequently Asked Questions
Direct engineering disclosures on deterministic RAG safeguards, multilingual translation, and pipeline throughput.
Incoming messages in over 95 languages are automatically detected and tokenized into multilingual semantic vectors. The customer's message is translated into English for internal CRM indexing and staff review, while drafted responses are synthesized natively in the customer's dialect with zero mechanical translation artifacts.
All inference runs through deterministic retrieval-augmented generation (RAG). Responses are synthetically bound to approved corporate knowledge vectors. If a query falls outside verified threshold confidence, it is escalated immediately to human operators.
Yes. We maintain native microservice connectors for Salesforce, HubSpot, Zendesk, Jira, Slack, Discord, and raw SQL databases. Every modification runs through restricted API credentials with verifiable audit trails.
Never. All enterprise inference pipelines are governed by zero-retention service agreements. Inbound emails, operational database dumps, and user queries remain strictly private and are never used to train public models.
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