​

Perplexity AI Models

The following Perplexity AI models are available. Each model offers distinct capabilities tailored for various applications and needs.

Please note that some features may not be available within Giselle even if they are offered in the official API.

​

sonar-pro

An advanced search model offering detailed responses with enhanced citation accuracy. Optimized for multi-step queries and tasks that require deep content understanding and comprehensive sourcing. Ideal for academic research, market analysis, and complex informational tasks.

​

sonar

A lightweight, cost-effective search model optimized for quick, accurate answers utilizing real-time web search with citations. Suitable for everyday queries, quick fact-checking, summarizations, and general-purpose use.

​

Model Selection Guide

Guidelines for selecting the optimal Perplexity AI model:

• For advanced multi-step research queries with citations: sonar-pro
• For everyday quick searches and cost-effective queries: sonar

​

Practices for Giselle

​

Multi-Node Research

In Giselle, you can set up multiple sonar-pro nodes to approach different perspectives, creating detailed, multifaceted research outputs similar to original deep-research reports.

​

Search Domain Filtering

Both sonar and sonar-pro nodes in Giselle now support the search_domain_filter option, allowing you to control which websites are included in or excluded from the search results used by the models. This feature is particularly useful for:

• Restricting search results to trusted sources.
• Filtering out specific domains (e.g., forums, social media).
• Focusing research on particular websites.

How to Use:

• Allowlist (Include): Provide a list of simple domain names (e.g., "wikipedia.org", "nasa.gov"). The search will only use results from these domains.
• Denylist (Exclude): Provide a list of simple domain names (e.g., "pinterest.com", "reddit.com"). The search will exclude results from these domains.
• Combine: You can mix included and excluded domains in the same request.

Best Practices:

• Simple Domain Names: Use domains in their simplest form (e.g., example.com) without protocol prefixes (http://, https://) or www..
• Main Domains: Using the main domain (e.g., nytimes.com) will filter all its subdomains as well.
• Limit Filter Size: You can add a maximum of 10 domains. Using fewer, more targeted domains often yields better results.
• Relevance: Use domains most relevant to your query for the best results.

Performance Considerations:

• Adding domain filters might slightly increase response time.
• Overly restrictive filters could lead to fewer search results, potentially affecting response quality.

For detailed specifications or additional assistance, please refer to Perplexity AI Documentation.