Hi Yaniv -

Something to keep in mind...

It's now easy to use an external full-text index such as Solr,
ElasticSearch, or IndexTank
(http://indextank.com/) for full-text search and then use Neo4j for
rankings.

For example, you could do the full-text query using Solr and have it
return a list of element IDs. Then if you want to use Gremlin for
ranking, you could pass in the list of element IDs to Gremlin as the
starting point of the query, and do a "local rank" type algorithm
(http://markorodriguez.com/2011/03/30/global-vs-local-graph-ranking/).

To make this work, a few days ago Marko updated Gremlin so you can pass in
multiple element IDs like this:

  g.v(1,2,3,4,5,6,7,8)

See https://groups.google.com/d/topic/gremlin-users/JjOopbFDHMw/discussion

- James

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