This page focuses on where Perplexity fits in a production voice stack. For full setup steps, credentials, and API details, use the documentation link above.
Overview
Perplexity combines large language models with realtime web search to deliver fact based, up to date responses. With Bolna's Perplexity integration, you can build voice agents that access current information, verify facts, and provide answers grounded in recent web sources.
Perplexity is ideal for scenarios where voice agents need to provide current information about products, services, news, policies, or any domain where information changes frequently and accuracy is critical.
Features & Use Cases
Real Time Web Search
Perplexity searches the web in real-time to provide current, fact-based answers - crucial for information that changes frequently.
Source Attribution
Responses include source citations, allowing verification of information and building caller trust.
Reduced Hallucination
By grounding responses in actual web sources, Perplexity reduces AI hallucination compared to pure language models.
Current Information
Access upto date information about products, policies, news, and events without manually updating knowledge bases.
Factual Accuracy
Optimised for factual queries where accuracy is more important than creative or conversational responses.
Use Case: Product Information Hotline
Build agents that provide current product specifications, availability, and pricing by searching your website and catalog in real-time.
Use Case: Policy & Compliance Queries
Handle questions about policies, regulations, or procedures by searching current documentation and official sources.
Use Case: News & Events Information
Deploy agents that can answer questions about recent news, events, or announcements by accessing current web information.