Algolia core workflow a
Implement Algolia search with filters, facets, highlighting, and pagination. The primary money-path workflow: search records, apply filters, display results. Trigger: "algolia search", "search with algolia", "algolia filters", "algolia facets", "algolia search implementation".From its SKILL.md
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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-authandalgolia-hello-worldsetup - Index populated with records (see
algolia-hello-world) - Index settings configured with
searchableAttributesandattributesForFaceting
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,
};
}
Error Handling
| Error | Cause | Solution |
|---|---|---|
Invalid filter syntax | Malformed filters string | Check filter syntax: field:value, field < N, use AND/OR/NOT |
Attribute not valid for filtering | Field not in attributesForFaceting | Add field to attributesForFaceting in settings |
0 results unexpectedly | Typo tolerance may be disabled | Check typoTolerance setting; verify data is indexed |
| Stale results after update | Didn't wait for task | Use await client.waitForTask() after indexing |
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
Next Steps
For indexing and data sync workflows, see algolia-core-workflow-b.
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