tavily-best-practices

Tavily is a search API designed for LLMs, enabling AI applications to access real-time web data. Python: JavaScript: See references/sdk.md for complete SDK reference. For custom agents/workflows: For out-of-the-box research: Key parameters: query , max_results , search_depth (ultra-fast/fast/basic/advanced), include_domains , exclude_domains , time_range See references/search.md for complete search reference. Key parameters: urls (max 20), extract_depth , query , chunks_per_source (1-5) See references/extract.md for complete extract reference. Key parameters: url , max_depth , max_breadth , limit , instructions , chunks_per_source , select_paths , exclude_paths See references/crawl.md for complete crawl reference. Key parameters: input , model ("mini"/"pro"/"auto"), stream , output_schema , citation_format See references/research.md for complete research reference. For complete parameters, response fields, patterns, and examples: - references/sdk.md - Python & JavaScript SDK reference, async patterns, Hybrid RAG - references/search.md - Query optimization, search depth selection, domain filtering, async patterns, post-filtering - references/extract.md - One-step vs two-step extraction, query/chunks for targeting, advanced mode - references/crawl.md - Crawl vs Map, instructions for semantic focus, use cases, Map-then-Extract pattern - references/research.md - Prompting best...