Azure Search

Azure Search is a search-as-a-service solution that allows developers to incorporate a sophisticated search experience into web and mobile applications without having to worry about the complexities of full-text search and without having to deploy, maintain or manage any infrastructure

How can we improve Azure Search?

You've used all your votes and won't be able to post a new idea, but you can still search and comment on existing ideas.

There are two ways to get more votes:

  • When an admin closes an idea you've voted on, you'll get your votes back from that idea.
  • You can remove your votes from an open idea you support.
  • To see ideas you have already voted on, select the "My feedback" filter and select "My open ideas".
(thinking…)

Enter your idea and we'll search to see if someone has already suggested it.

If a similar idea already exists, you can support and comment on it.

If it doesn't exist, you can post your idea so others can support it.

Enter your idea and we'll search to see if someone has already suggested it.

  • Hot ideas
  • Top ideas
  • New ideas
  • My feedback
  1. 2 votes
    Vote
    Sign in
    Check!
    (thinking…)
    Reset
    or sign in with
    • facebook
    • google
      Password icon
      I agree to the terms of service
      Signed in as (Sign out)
      You have left! (?) (thinking…)
      0 comments  ·  Enterprise  ·  Flag idea as inappropriate…  ·  Admin →
    • Clone entire Azure Search instance, just like I can clone App Service.

      I would be extremely handy if I could clone entire Azure Search instance to the same or a new Resource Group, in the same or a new location using the same or another Azure Subscription. Like I can clone Azure App Service wherever I want.

      User case: If there is an issue which is reproducible with production instance of Azure Search, then I will clone in to a separate sandbox, and take it from there. As of today, I have to create a brand new Azure Search instance, clone SQL Database and reindex them to get the same data.

      14 votes
      Vote
      Sign in
      Check!
      (thinking…)
      Reset
      or sign in with
      • facebook
      • google
        Password icon
        I agree to the terms of service
        Signed in as (Sign out)
        You have left! (?) (thinking…)
        0 comments  ·  Enterprise  ·  Flag idea as inappropriate…  ·  Admin →
      • Approximate Entity Extraction

        Financial institutions are supposed to audit all of their transactions and detect the illegal entities out of free format financial texts by means of a LOB search engine. The list of entities are published by the governmental units such as US OFAC SDN list.

        https://www.treasury.gov/resource-center/sanctions/SDN-List/Pages/default.aspx

        The regular search engines including Azure Search fails to address this need. The blog post below illustrate what is actually expected.

        "Is Google Really Unrivaled When It Comes to Search?"
        https://goo.gl/6Dg1mv

        Below is a demo application to test and highlight the features of such search engine addressing this need. Below is a sample query to…

        7 votes
        Vote
        Sign in
        Check!
        (thinking…)
        Reset
        or sign in with
        • facebook
        • google
          Password icon
          I agree to the terms of service
          Signed in as (Sign out)
          You have left! (?) (thinking…)
          0 comments  ·  Enterprise  ·  Flag idea as inappropriate…  ·  Admin →
        • Backup/Snapshot of Index

          It should be possible for us to snapshot our indices at an interval of our choosing. The location for the snapshot should be Blob Storage.

          Why

          A data load goes wrong. Currently you are stuffed if this happens. You have no way to rollback.

          You want to take a production index + data and restore it into UAT/TEST/DEV. Currently there is no way to do this other than to load from source.

          55 votes
          Vote
          Sign in
          Check!
          (thinking…)
          Reset
          or sign in with
          • facebook
          • google
            Password icon
            I agree to the terms of service
            Signed in as (Sign out)
            You have left! (?) (thinking…)
            0 comments  ·  Enterprise  ·  Flag idea as inappropriate…  ·  Admin →
          • Clustering

            Clustering is a well known field in data mining. When applied to text it can be used for

            Organisation
            Summarisation
            Classification

            of text (documents/phrases etc).

            I would like to see clustering in azure Search or perhaps made available in Azure ML and applied against Azure Search.

            An example of clustering can be found in Mahout

            https://mahout.apache.org/users/clustering/latent-dirichlet-allocation.html

            4 votes
            Vote
            Sign in
            Check!
            (thinking…)
            Reset
            or sign in with
            • facebook
            • google
              Password icon
              I agree to the terms of service
              Signed in as (Sign out)
              You have left! (?) (thinking…)
              0 comments  ·  Enterprise  ·  Flag idea as inappropriate…  ·  Admin →
            • Named Entity Recognition

              Named Entity Recognition (NER) is the ability to extract entities from pieces of text. Entities can be many things but most often they are people, places and temporal derivatives.
              An implementation I have used with SolR is here https://opennlp.apache.org/documentation/1.5.3/manual/opennlp.html#tools.namefind.recognition

              I would like to see something similar in Azure Search.

              Why

              Imagine you are an investigator and you have a load of documents which potentially could yield clues. Being able to extract the entities from documents could mean being able to recognise

              Who
              Where
              When
              With Whom

              Imagine then being able to take those entities and put them into a graph…

              32 votes
              Vote
              Sign in
              Check!
              (thinking…)
              Reset
              or sign in with
              • facebook
              • google
                Password icon
                I agree to the terms of service
                Signed in as (Sign out)
                You have left! (?) (thinking…)
                0 comments  ·  Enterprise  ·  Flag idea as inappropriate…  ·  Admin →
              • OpenSearch support for search federation

                Many companies use SharePoint as their entry point for search but federate actual searching across other data stores/sources.

                19 votes
                Vote
                Sign in
                Check!
                (thinking…)
                Reset
                or sign in with
                • facebook
                • google
                  Password icon
                  I agree to the terms of service
                  Signed in as (Sign out)
                  You have left! (?) (thinking…)
                  under review  ·  0 comments  ·  Enterprise  ·  Flag idea as inappropriate…  ·  Admin →
                • Don't see your idea?

                Azure Search

                Feedback and Knowledge Base