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First off, thanks for building this fantastic tool!
One enhancement I’m considering is allowing users to save queries they have written that contain document tags such that these queries can be reused across future sets of documents.
I’m proposing this enhancement because I think building queries from tags (as described in 'Step 6: tagging search results') is a process of optimisation that has value worth persisting. We go through a process of discovery in Semantra figuring out which combination of tags and semantic arithmetic will lead us to the most relevant results. It is easy to copy and paste simple queries across separate document searches but replicating queries with tags on new sets of documents is more involved as these queries reference files (embeddings and PDFs) that would need to be saved somewhere sensible to retrieve them. At present, to replicate a query with tags we would also need to re-tag all the document sections in Semantra.
I would love to get your general thoughts on whether or not you think this could be a worthwhile enhancement? I’ve done some basic exploration so far and been able to export a tagged query’s POST request payload which I can re-use by making new requests to the api/query endpoint. I would ideally then like to open Semantra and actually view the results through the interface (effectively reloading the tagged query results) but I haven’t found a good way of doing this.
The text was updated successfully, but these errors were encountered:
First off, thanks for building this fantastic tool!
One enhancement I’m considering is allowing users to save queries they have written that contain document tags such that these queries can be reused across future sets of documents.
I’m proposing this enhancement because I think building queries from tags (as described in 'Step 6: tagging search results') is a process of optimisation that has value worth persisting. We go through a process of discovery in Semantra figuring out which combination of tags and semantic arithmetic will lead us to the most relevant results. It is easy to copy and paste simple queries across separate document searches but replicating queries with tags on new sets of documents is more involved as these queries reference files (embeddings and PDFs) that would need to be saved somewhere sensible to retrieve them. At present, to replicate a query with tags we would also need to re-tag all the document sections in Semantra.
I would love to get your general thoughts on whether or not you think this could be a worthwhile enhancement? I’ve done some basic exploration so far and been able to export a tagged query’s POST request payload which I can re-use by making new requests to the
api/query
endpoint. I would ideally then like to open Semantra and actually view the results through the interface (effectively reloading the tagged query results) but I haven’t found a good way of doing this.The text was updated successfully, but these errors were encountered: