Azure Search Suggester API doesn't provide count for each of the suggesters text. How can it be achieved through Suggester API call?

Ganapathi Mahadevan 0

For example if we were to try Azure search API like below

https://{domain}/indexes/{index-name}/docs/suggest?search={searchtext}&suggesterName=suggestions&fuzzy=true&highlights=true&api-version={api-version}&$top=10&$filter=(language_1 eq '{language}') and (latestversion_1 eq true)

The sample response probably looks like below

[
  {
    "@search.text": "some text",
    "azureuniqueid": "some guid"
  },
  {
    "@search.text": "some text",
    "azureuniqueid": "some guid"
  }
]

Grmacjon-MSFT 17,456 Reputation points

2023-10-24T20:28:07.85+00:00
Hello @Ganapathi Mahadevan yes you're right, Azure Search Suggester API does not directly provide a count for each of the suggested text. The Suggest API is designed to provide a search-as-you-type query that looks for matching values in suggester-aware fields and returns documents that contain a match

However, if you want to get a count of each suggested text, you might need to implement this on the client side after you receive the response from the Suggest API. You can group the results by the suggested text and then count the number of occurrences for each group.

Here’s a simple example in Python:

from collections import Counter # Assuming 'response' is your list of results from the Suggest API response = [ { "@search.text": "some text", "azureuniqueid": "some guid" }, { "@search.text": "some text", "azureuniqueid": "some guid" } ] # Extract the suggested texts texts = [result["@search.text"] for result in response] # Count the occurrences of each text counts = Counter(texts) print(counts)

This will give you a dictionary where the keys are the suggested texts and the values are their counts.Please note that this is a workaround and might not be suitable for all use cases, especially when dealing with large amounts of data.

You can also try using the search API analytic functions like search.score() and search.rank() to get an indication of the relevance of each suggestion. Higher scored results are likely from more matching documents.

Lastly consider using the Autocomplete APIa instead, which returns estimated hit counts per suggestion via the @search.stats syntax.

Best,

Grace

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Azure Search Suggester API doesn't provide count for each of the suggesters text. How can it be achieved through Suggester API call?