exa-data-handling

name	exa-data-handling
description	Implement Exa search result processing, content extraction, caching, and RAG context management. Use when handling search results, implementing caching, building citation pipelines, or managing content payloads for LLM context windows. Trigger with phrases like "exa data", "exa results processing", "exa cache", "exa RAG context", "exa content extraction".
allowed-tools	Read, Write, Edit
version	1.11.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","exa","data","rag","caching"]
compatibility	Designed for Claude Code

Exa Data Handling

Overview

Manage search result data from Exa's neural search API. Covers content extraction scope control (text vs highlights vs summary), result caching with TTL, citation deduplication, token budget management for LLM context windows, and structured summary extraction.

Prerequisites

• exa-js SDK installed and configured
• Optional: lru-cache for in-memory caching, ioredis for Redis
• Understanding of Exa content options (text, highlights, summary)

Instructions

Step 1: Control Content Extraction Scope

import Exa from "exa-js";

const exa = new Exa(process.env.EXA_API_KEY);

// Tier 1: Metadata only (cheapest, fastest)
async function searchMetadataOnly(query: string) {
  return exa.search(query, {
    type: "auto",
    numResults: 10,
    // No content options — returns URLs, titles, scores only
  });
}

// Tier 2: Highlights only (balanced cost/value)
async function searchWithHighlights(query: string) {
  return exa.searchAndContents(query, {
    numResults: 10,
    highlights: {
      maxCharacters: 500,
      query: query,  
    },
  });
}


  () {
   exa.(query, {
    : ,
    : { : maxChars },
    : { :  },
  });
}


  () {
   exa.(query, {
    : ,
    : { : query },
    
  });
}