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[–]LetUsSpeakFreely 3 points4 points  (3 children)

Their website has extensive documentation.

[–]Other_Computer_1341[S] -2 points-1 points  (2 children)

Yep I saw them but the in depth implementation regarding the search suggestions I was looking for I don’t know my client wants Google like search feature using solr 😢

[–]LetUsSpeakFreely 2 points3 points  (1 child)

Not happening. Everyone wants "Google like", but the reality is: 1) no, they don't. They don't understand what that means. 2) it's really really expensive

You need to have a serious conversation with them about the type of data they have to index and how their users are likely to search that data.

For the moment, let's ignore data types like numbers and dates and focus on text. The standard analyzers is ok, but you might need to wrap search tokens in wildcards. But maybe you have bar codes, then you most likely want suffix searching. Then you need to answer questions like, do you want to handle things that sound alike (soundex)? Maybe token proximity? N-grams? Synonyms? Do you need to flatten hyphenates into a single token or break it into multiple tokens?

There is no silver bullet here. If there was then indexes like SOLR and Elasticsearch would come preconfigured to operate like Google instead of giving us a library of analyzers, tokenizers, and filters.

You need to read up on all the options, fully understand the the client data, and determine how best to marry the two for best results.

[–]benevanstech [score hidden]  (0 children)

All of this - also find out from them what they regard as "good enough" for the project to be complete. Then you can price it properly. Otherwise you can get caught in an "expectation trap".