Sonar by Perplexity
Build AI-powered products with Sonar's fast, affordable answer engine.
Quick facts
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- Build AI-powered products with Sonar's fast, affordable answer engine.
- Pricing
- Freemium
- Editor rating
- 5 / 5
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About Sonar by Perplexity
Generated by ChatGPT Sonar is an AI answer engine API developed by Perplexity. It provides real-time, web-wide research and Q&A capabilities. Built for complexity, it supports advanced queries and follow-ups. Ideal for multi-step tasks requiring deep understanding and context retention, it furnishes in-depth answers with multiple citations. This tool uses robust models and features a larger context window for higher efficiency. Sonar prioritizes data privacy with no LLM training on customer data and offers self-serve API access for immediate usage.Sonar comes in two distinct versions to cater to different needs. Sonar Pro is designed for advanced information retrieval from multiple web searches and provides optimal firepower for top-tier processing. On the other hand, the lightweight version of Sonar delivers straightforward answers with citations, balancing speed and cost effectively. It uses lightweight models and is backed by real-time web search for accuracy of information.Sonar stands out by surpassing industry benchmarks with its high-quality answers. It's been used in sectors such as go-to-market teams for target company research, delivering results not readily available from other structured data sources, thereby saving researcher's time and increasing productivity. It also finds application in the medical field, providing physicians with up-to-the-minute, cited clinical answers to improve patient care. Supported featuresSearch
Pros
- Real-time web-wide research
- Advanced queries and follow-ups support
- Designed for multi-step tasks
- Offers in-depth answers
- Provides multiple citations
- Features a larger context window
- Prioritizes data privacy
- No LLM training on customer data
- Self-serve API access
- Two distinct versions (Pro and Light)Outperforms industry benchmarks
- Utilized in diverse industries
- Delivers non-readily available data
Cons
- Two distinct versions complicates usage
- Larger context window complexities
- Requires deep understanding for multi-step tasks
- May be expensive for top-tier processing
- Balancing speed and cost can differ
- No LLM training on customer data
- Self-serve API might require technical expertise
- Efficiency reliant on robust models
- Potential difficulty scaling pricing for Pro version
- Flat pricing for Sonar might not be cost-effective