EX

exa-migration-deep-dive

Guides the migration from legacy search APIs to Exa, comparing features and code patterns.

Install

mkdir -p .claude/skills/exa-migration-deep-dive && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5469" && unzip -o skill.zip -d .claude/skills/exa-migration-deep-dive && rm skill.zip

Installs to .claude/skills/exa-migration-deep-dive

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Migrate from other search APIs (Google, Bing, Tavily, Serper) to Exa
68 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Install exa-js SDK for migration
  • Create provider-agnostic search adapter layers
  • Implement feature flags for traffic shifting
  • Translate legacy keyword queries to natural language
  • Compare search results between legacy and Exa providers

How it works

The skill maps legacy search features to Exa's neural search API and provides an adapter pattern to gradually shift traffic from traditional providers.

Inputs & outputs

You give it
Legacy search API implementation
You get back
Exa-integrated search adapter

When to use exa-migration-deep-dive

  • Replace Google/Bing search with Exa
  • Migrate from Tavily to Exa
  • Map search API features to Exa
  • Execute architectural refactoring

About this skill

Exa Migration Deep Dive

Current State

!npm list exa-js 2>/dev/null | grep exa-js || echo 'exa-js not installed' !npm list 2>/dev/null | grep -E '(google|bing|tavily|serper|serpapi)' || echo 'No competing search SDK found'

Overview

Migrate from traditional search APIs (Google Custom Search, Bing Web Search, Tavily, Serper) to Exa's neural search API. Key differences: Exa uses semantic/neural search instead of keyword matching, returns content (text/highlights/summary) in a single API call, and supports similarity search from a seed URL.

API Comparison

FeatureGoogle/BingTavilyExa
Search modelKeywordAI-enhancedNeural embeddings
Content in resultsSnippets onlyFull textText + highlights + summary
Similarity searchNoNofindSimilar() by URL
AI answerNoYesanswer() + streamAnswer()
CategoriesNoNocompany, news, research paper, tweet, people
Date filteringLimitedYesstartPublishedDate / endPublishedDate
Domain filteringYesYesincludeDomains / excludeDomains (up to 1200)

Instructions

Step 1: Install Exa SDK

set -euo pipefail
npm install exa-js
# Remove old SDK if replacing
# npm uninstall google-search-api tavily serpapi

Step 2: Create Adapter Layer

// src/search/adapter.ts
import Exa from "exa-js";

// Define a provider-agnostic search interface
interface SearchResult {
  title: string;
  url: string;
  snippet: string;
  score?: number;
  publishedDate?: string;
}

interface SearchResponse {
  results: SearchResult[];
  query: string;
}

// Exa implementation
class ExaSearchAdapter {
  private exa: Exa;

  constructor(apiKey: string) {
    this.exa = new Exa(apiKey);
  }

  async search(query: string, numResults = 10): Promise<SearchResponse> {
    const response = await this.exa.searchAndContents(query, {
      type: "auto",
      numResults,
      text: { maxCharacters: 500 },
      highlights: { maxCharacters: 300, query },
    });

    return {
      query,
      results: response.results.map(r => ({
        title: r.title || "Untitled",
        url: r.url,
        snippet: r.highlights?.join(" ") || r.text?.substring(0, 300) || "",
        score: r.score,
        publishedDate: r.publishedDate || undefined,
      })),
    };
  }

  // Exa-only: similarity search (no equivalent in Google/Bing)
  async findSimilar(url: string, numResults = 5): Promise<SearchResponse> {
    const response = await this.exa.findSimilarAndContents(url, {
      numResults,
      text: { maxCharacters: 500 },
      excludeSourceDomain: true,
    });

    return {
      query: url,
      results: response.results.map(r => ({
        title: r.title || "Untitled",
        url: r.url,
        snippet: r.text?.substring(0, 300) || "",
        score: r.score,
      })),
    };
  }
}

Step 3: Feature Flag Traffic Shift

// src/search/router.ts
function getSearchProvider(): "legacy" | "exa" {
  const exaPercentage = Number(process.env.EXA_TRAFFIC_PERCENTAGE || "0");
  return Math.random() * 100 < exaPercentage ? "exa" : "legacy";
}

async function search(query: string, numResults = 10): Promise<SearchResponse> {
  const provider = getSearchProvider();

  if (provider === "exa") {
    return exaAdapter.search(query, numResults);
  }
  return legacyAdapter.search(query, numResults);
}

// Gradually increase: 0% → 10% → 50% → 100%
// EXA_TRAFFIC_PERCENTAGE=10

Step 4: Query Translation

// Exa neural search works best with natural language, not keyword syntax
function translateQuery(legacyQuery: string): string {
  return legacyQuery
    // Remove boolean operators (Exa doesn't use them)
    .replace(/\b(AND|OR|NOT)\b/gi, " ")
    // Remove quotes (Exa uses semantic matching, not exact)
    .replace(/"/g, "")
    // Remove site: operator (use includeDomains instead)
    .replace(/site:\S+/gi, "")
    // Clean up extra whitespace
    .replace(/\s+/g, " ")
    .trim();
}

// Extract domain filters from legacy query
function extractDomainFilter(query: string): string[] {
  const domains: string[] = [];
  const siteMatches = query.matchAll(/site:(\S+)/gi);
  for (const match of siteMatches) {
    domains.push(match[1]);
  }
  return domains;
}

Step 5: Validation and Comparison

async function compareResults(query: string) {
  const [legacyResults, exaResults] = await Promise.all([
    legacyAdapter.search(query, 5),
    exaAdapter.search(query, 5),
  ]);

  // Compare URL overlap
  const legacyUrls = new Set(legacyResults.results.map(r => new URL(r.url).hostname));
  const exaUrls = new Set(exaResults.results.map(r => new URL(r.url).hostname));
  const overlap = [...legacyUrls].filter(u => exaUrls.has(u));

  console.log(`Legacy results: ${legacyResults.results.length}`);
  console.log(`Exa results: ${exaResults.results.length}`);
  console.log(`Domain overlap: ${overlap.length}/${legacyUrls.size}`);

  return { legacyResults, exaResults, overlapRate: overlap.length / legacyUrls.size };
}

Error Handling

IssueCauseSolution
Lower result countExa filters more aggressivelyIncrease numResults
Different rankingNeural vs keyword rankingExpected — evaluate by relevance
Boolean queries failExa doesn't support AND/ORTranslate to natural language
Missing site: filterDifferent API parameterUse includeDomains parameter

Resources

Next Steps

For advanced troubleshooting, see exa-advanced-troubleshooting.

When not to use it

  • When the project requires exact keyword matching
  • When the application cannot support asynchronous search calls

Prerequisites

Existing search API integrationNode.js environment

Limitations

  • Exa does not support boolean operators like AND/OR
  • Exa uses semantic matching instead of exact keyword matching

How it compares

It focuses on the architectural transition from keyword-based search to neural embeddings, unlike simple API replacement.

Compared to similar skills

exa-migration-deep-dive side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
exa-migration-deep-dive (this skill)127dReviewIntermediate
mistral-migration-deep-dive027dReviewAdvanced
apollo-upgrade-migration127dCautionIntermediate
instantly-upgrade-migration127dReviewAdvanced

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