Questions on Hybrid Search Feature in Upcoming Release
TLDR Chetan inquired about the compatibility and parameter control of hybrid search feature. Jason clarified its functionality, indicating its compatibility with manually created vec field and parameters affecting keyword vs semantic search results.
Jul 24, 2023 (2 months ago)
Chetan
05:32 PM• is it still compatible with documents indexed with a manually created
vec field? or do i have to let typesense do the embedding for me from specific field • is it possible to change the parameter controlling how keyword search results are weighed vs semantic search results?
Jason
07:30 PMYup, in
0.25.0.rc53 and later, you can send both a q parameter and also vector_query parameter to do a hybrid search and combine the results together, without having to use built-in embedding generationJason
07:31 PMThis is how results are ranked in hybrid search (it’s called Rank Fusion): https://gist.github.com/jasonbosco/f4187f6b4f585d2dc8902af85408994a#hybrid-search-rank-fusion
So by default keyword search is given more priority over semantic search.
You can influence keyword search ranking and semantic search ranking independently, but not both of them together
Typesense
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