Discrepancy in Search Results Between Postman and Python Library
TLDR Md raised an issue about differing search results when using Postman and a Python library. Kishore Nallan suggested trying a multi_search request to compare values, and to set a distance threshold on the vector component. The issue was resolved.
Aug 22, 2023 (1 month ago)
Md
09:40 AMtypesense==0.16.0 (python client)
Kishore Nallan
10:10 AMMd
10:17 AMsearch_parameters1 = {'q': remove_trailing_whitespace(search),'query_by': 'embedding,title,job_responsibility,skills,industry,location,type,division,company','include_fields': 'id','per_page': 250,'page': 1,'sort_by': '_vector_distance:desc'}res = client.collections['alljobsupdated'].documents.search(search_parameters1)newlist = [x['document']['id'] for x in res['hits']]print(newlist)Md
10:19 AM{server}/collections/alljobsupdated/documents/search?q=laravel&query_by=embedding,title,job_responsibility,skills,industry,location,type,division,company&sort_by=_vector_distance:desc&include_fields=id&page=250
Kishore Nallan
10:27 AMKishore Nallan
10:28 AMMd
10:32 AMMd
02:29 PMKishore Nallan
02:32 PMMd
02:36 PMAug 23, 2023 (1 month ago)
Kishore Nallan
07:32 AMvector_query=embedding:([], distance_threshold:0.30)In the snippet above,
embedding is the name of the vector field. Try adding the above to your queries to see if it helps.
Md
09:44 AM
Typesense
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