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.zipInstalls 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 ExaKey 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
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
| Feature | Google/Bing | Tavily | Exa |
|---|---|---|---|
| Search model | Keyword | AI-enhanced | Neural embeddings |
| Content in results | Snippets only | Full text | Text + highlights + summary |
| Similarity search | No | No | findSimilar() by URL |
| AI answer | No | Yes | answer() + streamAnswer() |
| Categories | No | No | company, news, research paper, tweet, people |
| Date filtering | Limited | Yes | startPublishedDate / endPublishedDate |
| Domain filtering | Yes | Yes | includeDomains / 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
| Issue | Cause | Solution |
|---|---|---|
| Lower result count | Exa filters more aggressively | Increase numResults |
| Different ranking | Neural vs keyword ranking | Expected — evaluate by relevance |
| Boolean queries fail | Exa doesn't support AND/OR | Translate to natural language |
Missing site: filter | Different API parameter | Use 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
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.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| exa-migration-deep-dive (this skill) | 1 | 27d | Review | Intermediate |
| mistral-migration-deep-dive | 0 | 27d | Review | Advanced |
| apollo-upgrade-migration | 1 | 27d | Caution | Intermediate |
| instantly-upgrade-migration | 1 | 27d | Review | Advanced |
Try saying
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