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Good work! The sample searches were particularly strong for uncovering discussions on specific subjects, i.e. 'Dedicated Vector Databases'. With less focused
by humbleferret 2y ago
Good work!
The sample searches were particularly strong for uncovering discussions on specific subjects, i.e. 'Dedicated Vector Databases'.
With less focused searches, such as 'Deep Work', I notice some results feel only loosely related. Is this an aim – to broaden the scope of discovery that may not seem directly related?
- isoprophlex 2y agoThanks for testing it out! So, because I've found (in purely vibe-based testing, of course) that with queries of 1, 2 or 3 words, a vector embedding doesn't always make a lot of sense. What's "Apple"? The fruit, the company? So, here it defaults to priming the fuzzy search with a full text search on 'apple', or 'flow state'. If you want to know something about deep work, try "tricks for performing deep work", or "help me get into a flow state". It's all very serendipity-driven, and this is mostly a tool for wasting time, but you might discover some interesting (and hopefully on point) conversations this way. Anyway, valuable feedback. Maybe in a next interation, I'll always do both searches and merge the resulting ranking.
- humbleferret 2y agoThank you for the detailed reply – I appreciate the insight into how the shorter queries are handled.