Summary
A search API purpose-built for RAG and agents — returns synthesised, cited content instead of a list of links.
Description
Tavily is a search API for AI applications. Rather than returning ten blue links for your code to scrape, it retrieves, filters, and returns the relevant content directly, optimised for dropping into a model's context.
What it returns
- Search results with extracted content, ranked for relevance to the query rather than for click-through
- A synthesised answer with citations, when you want the short version
- Topic modes for news and general search, with time-range filtering for recency-sensitive queries
- Domain include/exclude lists for trusted-source-only retrieval — important in regulated contexts
- Extract for pulling clean content from URLs you already have
- Crawl and Map for going beyond single pages
Why teams use it
Building web search into an agent means handling ranking, boilerplate removal, rate limits, and token budgets. Tavily handles all of it and returns something short enough to fit in a prompt. It integrates natively with the major agent frameworks and supports MCP.
A free tier covers a useful monthly volume for development; paid plans are usage-based by API credit with higher rate limits.
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