Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/algolia-core-workflow-a/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill algolia-core-workflow-a. Copyright stays with the author (MIT).

Algolia Core Workflow A — Search & Filtering

Overview

Primary Algolia workflow: full-text search with filters, faceted navigation, hit highlighting, and pagination. Uses searchSingleIndex (v5) with real Algolia search parameters.

Prerequisites

• Completed algolia-install-auth and algolia-hello-world setup
• Index populated with records (see algolia-hello-world)
• Index settings configured with searchableAttributes and attributesForFaceting

Instructions

Step 1: Configure Index for Filtering

import { algoliasearch } from 'algoliasearch';

const client = algoliasearch(process.env.ALGOLIA_APP_ID!, process.env.ALGOLIA_ADMIN_KEY!);

await client.setSettings({
  indexName: 'products',
  indexSettings: {
    // What to search (ordered = priority matters)
    searchableAttributes: ['name', 'description', 'brand', 'category'],

    // What to filter/facet on — prefix with filterOnly() if no facet counts needed
    attributesForFaceting: [
      'searchable(brand)',           // Searchable facet: users can search within brand values
      'category',                     // Regular facet: shown in facet panels
      'filterOnly(price)',           // Filter only: no counts computed, saves CPU
      'filterOnly(in_stock)',
    ],

    // Custom ranking: tie-breaker after Algolia's relevance ranking
    customRanking: ['desc(sales_count)', 'desc(rating)'],

    // What comes back in hits
    attributesToRetrieve: ['name', 'brand', 'price', 'image_url', 'category'],
    attributesToHighlight: ['name', 'description'],
    attributesToSnippet: ['description:30'],  // 30-word snippet
  },
});

Step 2: Search with Filters

// Algolia filter syntax uses SQL-like expressions
const { hits, nbHits, facets } = await client.searchSingleIndex({
  indexName: 'products',
  searchParams: {
    query: 'running shoes',

    // Numeric/boolean/string filters
    filters: 'price < 150 AND in_stock = true',

    // OR: facetFilters for UI-driven filtering (array = OR, nested = AND)
    // facetFilters: [['category:shoes', 'category:sneakers'], ['brand:Nike']],
    //   ^ shoes OR sneakers, AND brand is Nike

    // Numeric range filters
    numericFilters: ['price >= 50', 'price <= 150'],

    // Request facet counts for these attributes
    facets: ['category', 'brand'],

    // Pagination
    hitsPerPage: 20,
    page: 0,

    // Highlighting
    highlightPreTag: '<mark>',
    highlightPostTag: '</mark>',
  },
});

console.log(`${nbHits} results found`);

// Access facet counts for building filter UI
// facets = { category: { shoes: 42, sneakers: 18 }, brand: { Nike: 30, Adidas: 25 } }
for (const [facetName, values] of Object.entries(facets || {})) {
  console.log(`${facetName}:`);
  for (const [value, count] of Object.entries(values)) {
    console.log(`  ${value}: ${count}`);
  }
}

Step 3: Display Highlighted Results

hits.forEach(hit => {
  // _highlightResult contains highlighted versions of each field
  const highlighted = hit._highlightResult;
  const name = highlighted?.name?.value || hit.name;
  const snippet = hit._snippetResult?.description?.value || '';

  console.log(`${name} — $${hit.price}`);
  if (snippet) console.log(`  ${snippet}`);
});

Step 4: Implement Pagination

async function paginatedSearch(query: string, page: number = 0) {
  const { hits, nbHits, nbPages, hitsPerPage } = await client.searchSingleIndex({
    indexName: 'products',
    searchParams: {
      query,
      hitsPerPage: 20,
      page,
    },
  });

  return {
    hits,
    totalHits: nbHits,
    totalPages: nbPages,
    currentPage: page,
    hasMore: page < nbPages - 1,
  };
}

Output

The configured index returns paginated, highlighted search hits with the requested filters and facets. The examples also show how to extend that baseline to federated and optional-filter search without changing the indexing contract.

Error Handling

Examples

Multi-Index Search (Federated)

const { results } = await client.search({
  requests: [
    { indexName: 'products', query: 'laptop', hitsPerPage: 5 },
    { indexName: 'articles', query: 'laptop', hitsPerPage: 3 },
  ],
});

// results[0].hits = product hits, results[1].hits = article hits

Search with Optional Filters (boost, not require)

const { hits } = await client.searchSingleIndex({
  indexName: 'products',
  searchParams: {
    query: 'shoes',
    optionalFilters: ['brand:Nike'],  // Nike products ranked higher but not required
  },
});

Resources

• Filtering Guide
• Faceting Guide
• Search Parameters

Next Steps

For indexing and data sync workflows, see algolia-core-workflow-b.