Exa AI

Exa AI is a neural search API designed specifically for AI applications that need to retrieve high-quality, semantically relevant web content. Unlike traditional search APIs that match keywords, Exa understands the meaning behind queries.

• Neural search — Find semantically relevant results using embeddings rather than keyword matching
• Content extraction — Retrieve clean, parsed content from any URL alongside search results
• Similarity search — Find pages similar to a given URL for competitive analysis or content discovery
• Category filters — Target searches to specific content types like companies, research papers, news, or tweets
• Auto-prompt — Automatically optimizes your natural language query for the best neural search results

Developers building RAG applications integrate Exa for higher-quality context retrieval. AI agent builders use it for web research tasks. Research tools use it to find relevant papers with semantic understanding.

Exa is purpose-built for the AI application layer. Explore the API at exa.ai.

1. Sign up at exa.ai and get your API key from the dashboard
2. Install the SDK:

   pip install exa-py

   or for JavaScript:

   npm install exa-js

3. Pricing:
   • Free — 1,000 searches/month for development and testing
   • Growth ($100/mo) — 10,000 searches/month, content extraction included
   • Pro — Custom volume pricing, priority support
4. Make your first search:

   from exa_py import Exa
   exa = Exa(api_key='your-key')
   results = exa.search_and_contents('AI developer tools', num_results=10)

5. Integrate — Use results as context for LLM prompts, RAG pipelines, or AI agent tools