Hi All! I am really loving typesense.. works great! Because I am using it for searching CRM data across multiple indexes (customers, invoices, etc), it’s been critical to set drop_tokens_threshold=0.. otherwise ‘bob smith 7910’ brings back anyone who might be smith, or bob, or live at 7910, and this crowds out the other results and pushes them off-screen) However, the inverse is true. Typesense doesn’t understand we want an ‘and’ search. I haven’t found great answers on how people have solved this previously.. the two approaches I can think of would be to: 1. create an additional ‘giant column of all text’ so that typesense can find all words. However, I presume I would then be giving up any kind of ranking control (i.e customer name ‘bob smith’ is a more relevant result than a customer whose notes mention they have a cat named ‘bob smith’) 2. Leave drop_tokens_threshold off the query so that we get the ‘OR’ results, and then filter out any hit where the ‘matchedWords’ array inside highlightResult doesn’t == the number of words we sent in the query. Has anyone seen or heard of better results with one approach or the other?

Did you turn Prefix off and typo_tokens_threshold to 0? I think that should help

When you mean by AND, I presume you are looking to match a given query across fields? For e.g. "bob smith 7910" mapped to firstname, lastname and zipcode respectively? Typesense uses a per-field index so it's difficult to do a global AND across fields like this. See this earlier discussion: https://typesense-community.slack.com/archives/C01P749MET0/p1636246311146500

@Kishore Nallan precisely as you state - mapping to the relevant underlying fields. Checking the earlier discussion now which seems to have definitely tread this ground 🙂