Smart Chatbot Engine
Powered by a state-of-the-art Conversational AI and semantic context engine. Resolves customer inquiries 24/7 with strict PII masking and context retention.
Key Capabilities
Semantic retrieval-augmented search using specialized vector engines.
Strict context constraints preventing model hallucinations on pricing.
Dynamic data masking redacting sensitive personal information from logs.
Isolated memory architecture securing client session histories.
Frequently Asked Questions
How does the chatbot prevent hallucinating custom pricing?
The model runs under strict system constraints and only cites verified catalog prices retrieved from the Stock Service via context injection.
Is the customer conversation logged?
Yes, chat history is vectorized and stored in a secure vector store with strict lifetime-limit configurations.
What languages are supported by the chatbot?
Supports multi-lingual chat, including English, Hindi, and regional variants, configured per organization.
How is the chatbot context initialized?
It uses semantic search to scan catalog files, service documentation, and FAQ databases, matching keywords and meanings to augment query prompts.
Can the chatbot escalate queries to a human agent?
Yes. When customer sentiment is flagged as frustrated or if confidence scores drop, the chatbot auto-transfers the conversation to support tickets.