Exa

Exa provides reliable API responses with typical latencies of 1-3 seconds for neural search. The API returns results with relevance scores, URLs, and optionally extracted content. Rate limits depend on plan tier. The neural search engine uses a proprietary index that may have different coverage than Google-based alternatives — some queries may return fewer results. Implement fallback to keyword search mode or a secondary search API for queries where neural search returns insufficient results.

No, Exa is a cloud-hosted API service. The neural search engine requires proprietary embedding models and index infrastructure that aren't available for self-hosting. For teams wanting semantic search capabilities on their own infrastructure, consider building custom semantic search using embedding models (OpenAI, Cohere, or open-source) combined with a vector database like Qdrant or Weaviate, though this won't replicate Exa's web-scale index.

Exa's free tier includes 1,000 searches/month. Beyond that, pricing is usage-based. Optimize by using keyword search mode for simple factual queries (saving neural search for semantic/conceptual queries where it adds value), caching results for repeated queries, limiting the number of results returned, and using the contents endpoint selectively — only extracting full page content when needed rather than for every search result.

Exa's neural search approach is unique — there's no direct equivalent API to migrate to. Moving to keyword-based search APIs (Serper, Brave) would lose the semantic query understanding that makes Exa valuable. The 'similar' endpoint (find pages similar to a URL) has no standard alternative. Mitigate by using LangChain's ExaSearchRetriever abstraction and maintaining a fallback search provider for when neural search coverage is insufficient.