Quickchat

Quickchat AI fuses three core pillars—Knowledge Base Management, Conversation Design, and Action Orchestration—into a single cloud-native platform.

Knowledge Base Management
At its heart sits a retrieval-augmented generation (RAG) pipeline. Instead of fine-tuning a massive LLM on proprietary data (expensive, risky), Quickchat ingests structured and unstructured content—web pages, PDFs, product catalogs, APIs—into a vectorized index. When a user query arrives, the system performs dense passage retrieval, surfaces the top-k most relevant snippets, and feeds them to a carefully curated LLM that generates answers grounded in your data. This hybrid approach slashes hallucinations while preserving GDPR-grade data isolation.

Conversation Design
Marketers can sculpt personality, tone, and fallback behaviors through an intuitive drag-and-drop canvas. JSON-based conversation rules are version-controlled and can be A/B tested in real time. Under the hood, conditional logic is compiled into a deterministic state machine that sits alongside the probabilistic LLM, giving you both creativity and guardrails.

Actions & Integrations
Quickchat’s serverless runtime can trigger webhooks, update CRM records, or create Jira tickets without exposing sensitive credentials. OAuth 2.0 and signed JWTs ensure enterprise security, while pre-built connectors to Shopify, Zendesk, Slack, and Microsoft Teams cut integration time from weeks to hours.