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

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  1. Having contains option in lucene searchfilter

    We have scenarios where based on context, we need to apply field-level filters- and seems clunky to create the filters through multiple 'or' statements on each of the filter parameter

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    1 comment  ·  Query - Search  ·  Flag idea as inappropriate…  ·  Admin →
  2. Allow larger (>16MB) files in blob storage when using one to many indexers

    When using a one to many indexer with files in Azure Blob Storage the indexer appears to still attempt to read the entire file at once. As a result files > 16MB fail to be indexed because they exceed the payload size limit.

    Since its one to many the indexer should be able to read individual lines from the file and index them without reading the full file.

    Additionally there is no helpful error message when this happens, it just appears as if the indexer never ran.

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    0 comments  ·  Bugs  ·  Flag idea as inappropriate…  ·  Admin →
  3. Rest end point indexing capability like voyager search engine, that would be helpful otherwise we would have duplicate data in azure

    Rest endpoint indexing capability like voyager search engine, that would be helpful otherwise we would have duplicate data in azure

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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  4. 1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  5. Create mechanism to increase the maximum running time for cognitive search skillsets or blob indexing with image analysis beyond 1 hour.

    The limit of 1 hour is not enough for using the indexer with cognitive services using OCR.

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    1 comment  ·  Pricing and Quotas  ·  Flag idea as inappropriate…  ·  Admin →

    While the OCR should not take that long, I think what you are saying is that indexers that require a bit of processing don’t index too many documents in a given time period (1 hour).

    We are looking for mechanisms to improve throughput in our enrichment pipeline at this time. Thanks for the feedback!

    -Luis Cabrera
    Azure Search Product Team

  6. Add tagging to each token such as POS, allowing to filter on them and receive them in results

    In Lucene you can add metadata to each token, which is then returned on search results.

    It would be great to be able to add predefined tags/metadata during indexing that will be later returned on search results. Filtering results based on these tags would also be great.

    Examples of tags can be:
    Part of Speech
    Dates
    Numbers
    Entities (person names, organizations)
    Locations (city, country names)

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    0 comments  ·  Indexing  ·  Flag idea as inappropriate…  ·  Admin →
  7. Skill: extract and index URLs / URIs

    Many documents include references to websites. Just as you identify people or places, please add URL identification, indexing, sorting, filtering, etc.

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    1 comment  ·  Query - Search  ·  Flag idea as inappropriate…  ·  Admin →
  8. 1 vote
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    0 comments  ·  Flag idea as inappropriate…  ·  Admin →
  9. 1 vote
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    0 comments  ·  Security  ·  Flag idea as inappropriate…  ·  Admin →
  10. Drill down into queries

    When looking at queries, while I'm interested in full queries such as "purple shoes" and "red blazers", I'd also like to see an index of the individual words that are used in the search terms, plus the ability to drill into the query list ie: which queries contained the word "blazer"? It doesn't have to be in the UI, as long as it's downloadable. (Ideally, it would be downloadable using REST-based queries and/or OData, and be consumable by Excel/Data Explorer in Excel/PowerPivot/Tabular data models in SSAS).

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    under review  ·  0 comments  ·  Query - Search  ·  Flag idea as inappropriate…  ·  Admin →
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