Smart Search FAQs

Question 1

What advanced features does Smart Search offer for developers?

Accepted Answer

Beyond aggregation, it offers intelligent result fusion (deduplication, score normalization), batch searching for multiple queries, category and time range filters, and real-time query analytics—all within a single Rust binary.

Question 2

What is Smart Search and how does it help AI agents?

Accepted Answer

Smart Search is an AI-native web search aggregator that unifies 5 popular engines (Brave, Exa, SearXNG, Tavily, DuckDuckGo) into one tool. It provides AI agents with intelligent, cached, and cost-optimized web search capabilities.

Question 3

Is Smart Search easy to integrate into existing AI agent workflows?

Accepted Answer

Yes, designed as an MCP server, integration is straightforward. Simply build the binary, configure necessary environment variables for your chosen backends, and add a simple entry to your agent's MCP configuration.

Question 4

How does Smart Search reduce web search API costs?

Accepted Answer

It employs a two-tier caching system for high hit rates (50-80%) and cost-aware routing that prioritizes the cheapest backend first. This intelligent system can reduce your search API expenses by 50-80% compared to direct API usage.

Question 5

Which search backends does Smart Search integrate?

Accepted Answer

Smart Search integrates Brave, Exa, SearXNG, Tavily, and DuckDuckGo. You can configure API keys for premium services, while DuckDuckGo is always available as a free fallback, ensuring continuous search functionality.

Smart Search

Smart Search

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主要功能

使用案例