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					"Data": "-- Matches documents that contain at least one instance of either \"one\" or \"two\", but do not contain any instances of token \"three\".\n'one OR two NOT three'\n\n-- Match all documents that contain the token \"two\" but not \"three\", or contain the token \"one\".\n'one OR (two NOT three)'\n"
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					"Data": "'one two three'         -- 'one AND two AND three'\n'three \"one two\"'       -- 'three AND \"one two\"'\n'NEAR(one two) three'   -- 'NEAR(one two) AND three'\n'one OR two three'      -- 'one OR two AND three'\n\n'(one OR two) three'    -- Syntax error!\n'func(one two)'         -- Syntax error!\n"
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					"Data": "After knowing these, we can implement the query embedding block through the query syntax, so that the query performance will be better:"
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				"id": "20220415233433-411i0bp",
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					"Data": "Since the tokenizer is case-sensitive, we build two virtual tables to index separately:"
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					"Data": "The disadvantage of this is that it increases disk space usage and reduces indexing performance, but there is currently no better solution, so it can only be done first. In addition, diacritics are not supported, only supported case insensitive."
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					"Data": "If you have a better implementation, please let us know, thank you very much."
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