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I am using postgres for the knowledgebase for 3 reasons
- I'm old
- support for full text (keyword search)
- support for embeddings and offloading similarity searches to the db
I have never seen an instance where one have used both semantic similarity and some sort of token frequency (see TF/IDF) I think it's a good idea to use both in semantic search but I am willing to be convinced that this is not worthwhile.
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