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A unified search bar queries multiple indexes and presents all results in one interface. Depending on your needs, you can display results in categorized sections (multi-index mode) or as a single merged list (federated mode). This page walks through both patterns and shows how to implement them in a frontend application.

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Choose a display mode

ModeBest forResult format
Multi-indexShowing results grouped by type (products section, articles section)Separate result arrays
FederatedShowing a single ranked list across all content typesOne merged array
Use multi-index search when you want to display results from each index in its own section. This gives you full control over how each category appears. Send a multi-search request without the federation parameter: 
curl \
  -X POST 'MEILISEARCH_URL/multi-search' \
  -H 'Content-Type: application/json' \
  --data-binary '{
    "queries": [
      {
        "indexUid": "products",
        "q": "running shoes",
        "limit": 4,
        "attributesToRetrieve": ["id", "name", "price", "image_url"]
      },
      {
        "indexUid": "articles",
        "q": "running shoes",
        "limit": 3,
        "attributesToRetrieve": ["id", "title", "excerpt"]
      },
      {
        "indexUid": "users",
        "q": "running shoes",
        "limit": 2,
        "attributesToRetrieve": ["id", "username", "avatar_url"]
      }
    ]
  }'
Each query limits results and selects only the fields needed for the search bar display.

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Frontend implementation

Here is a simple JavaScript pattern for rendering categorized results: 
<input type="text" id="search-input" placeholder="Search..." />
<div id="search-results"></div>

<script>
  const MEILI_URL = 'MEILISEARCH_URL';
  const MEILI_KEY = 'your_search_api_key';

  const categories = [
    { indexUid: 'products', label: 'Products', limit: 4 },
    { indexUid: 'articles', label: 'Articles', limit: 3 },
    { indexUid: 'users', label: 'Users', limit: 2 }
  ];

  document.getElementById('search-input').addEventListener('input', async (e) => {
    const query = e.target.value;
    if (!query) {
      document.getElementById('search-results').innerHTML = '';
      return;
    }

    const response = await fetch(`${MEILI_URL}/multi-search`, {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': `Bearer ${MEILI_KEY}`
      },
      body: JSON.stringify({
        queries: categories.map(cat => ({
          indexUid: cat.indexUid,
          q: query,
          limit: cat.limit
        }))
      })
    });

    const data = await response.json();
    renderCategorizedResults(data.results);
  });

  function renderCategorizedResults(results) {
    const container = document.getElementById('search-results');
    container.innerHTML = results
      .map((result, i) => {
        if (result.hits.length === 0) return '';
        const hits = result.hits
          .map(hit => `<li>${hit.name || hit.title || hit.username}</li>`)
          .join('');
        return `
          <div class="category">
            <h3>${categories[i].label}</h3>
            <ul>${hits}</ul>
          </div>`;
      })
      .join('');
  }
</script>
Use federated search when you want a single ranked list where the most relevant results appear first, regardless of which index they come from. 
curl \
  -X POST 'MEILISEARCH_URL/multi-search' \
  -H 'Content-Type: application/json' \
  --data-binary '{
    "federation": {},
    "queries": [
      {
        "indexUid": "products",
        "q": "running shoes",
        "federationOptions": { "weight": 1.2 }
      },
      {
        "indexUid": "articles",
        "q": "running shoes"
      },
      {
        "indexUid": "users",
        "q": "running shoes"
      }
    ]
  }'
The response returns a flat hits array. Each hit includes a _federation object that tells you which index it came from: 
{
  "hits": [
    {
      "id": 55,
      "name": "Trail Running Shoes Pro",
      "_federation": { "indexUid": "products", "queriesPosition": 0 }
    },
    {
      "id": 12,
      "title": "How to Choose Running Shoes",
      "_federation": { "indexUid": "articles", "queriesPosition": 1 }
    }
  ]
}

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Frontend implementation

Use the _federation.indexUid field to style each result according to its type: 
<input type="text" id="search-input" placeholder="Search..." />
<div id="search-results"></div>

<script>
  const MEILI_URL = 'MEILISEARCH_URL';
  const MEILI_KEY = 'your_search_api_key';

  document.getElementById('search-input').addEventListener('input', async (e) => {
    const query = e.target.value;
    if (!query) {
      document.getElementById('search-results').innerHTML = '';
      return;
    }

    const response = await fetch(`${MEILI_URL}/multi-search`, {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': `Bearer ${MEILI_KEY}`
      },
      body: JSON.stringify({
        federation: {},
        queries: [
          { indexUid: 'products', q: query },
          { indexUid: 'articles', q: query },
          { indexUid: 'users', q: query }
        ]
      })
    });

    const data = await response.json();
    renderMergedResults(data.hits);
  });

  function renderMergedResults(hits) {
    const container = document.getElementById('search-results');
    container.innerHTML = hits
      .map(hit => {
        const type = hit._federation.indexUid;
        const label = type.charAt(0).toUpperCase() + type.slice(1);
        const title = hit.name || hit.title || hit.username;
        return `<div class="result result-${type}">
          <span class="badge">${label}</span>
          <span>${title}</span>
        </div>`;
      })
      .join('');
  }
</script>

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Which mode should you use?

  • Categorized sections work well when users expect to see clear separation between content types, like a sidebar with “Products”, “Articles”, and “Help” sections
  • Merged list works well for a single search bar where the most relevant result should always appear first, regardless of type
  • You can also combine both: use federated search for the main results and multi-index search for a “quick suggestions” dropdown

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Next steps

Multi-index search

Learn the basics of multi-index search

Federated search

Learn how to set up federated search

Boost results

Use weights to prioritize results from specific indexes