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Exa

Neural search API built for AI applications — returns semantically relevant web results with full content extraction for RAG and agent workflows

Free tier with 1,000 searches; pay-as-you-go from $10/1,000 searches

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Overview

Exa is a neural search API designed specifically for AI applications that need to retrieve web content. Unlike traditional search APIs that return URLs and snippets, Exa understands the meaning of queries and returns full page content — making it ideal for building research agents, RAG systems, and fact-checking pipelines.

Key Features

  • Neural search: finds semantically relevant pages, not just keyword matches
  • Full content retrieval: extract complete, clean text from any URL
  • Find Similar: discover pages similar to a given URL
  • Date filtering and domain filtering for targeted research
  • Web highlights: extract the most relevant sentences from each result
  • Research-grade coverage: indexes academic papers, news, and the broader web

Pricing: Free tier (1,000 searches/month); pay-as-you-go from $10/1,000 searches.

Pros

  • Returns full page content — dramatically easier than scraping separately
  • Semantic understanding finds relevant results that keyword search misses
  • Built for AI agents — designed for programmatic use
  • Find Similar feature is unique and useful for research

Cons

  • More expensive than Google Custom Search for basic use cases
  • Index coverage still narrower than Google for highly specific queries
  • Requires API integration — not a consumer product

Tags

search-apineural-searchragweb-searchcontent-extractionai-agentsresearch

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