How Does Cursor Search 50 000 Files In - 50,000 Half A Second?

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Video Title / CaptionHow does Cursor search 50,000 files in half a second? Two indexes, not one: embeddings for meaning, trigrams for exact text. Trigrams turn search into instant lookups instead of reading every file. A Merkle tree spots which files changed so only those get re-embedded. Turbopuffer holds the vectors 20x cheaper than the old setup. Mostly 1970s and 1990s ideas, combined well.
TikTok Creator@rajistics (Rajiv Shah | Explaining AI)
Audio Track Name🎵 original sound - rajistics
Total Plays1,541 views
Total Likes❤️ 75 likes
Total Shares🔁 4 shares

Check out the video for How Does Cursor Search 50 000 Files In posted by creator @rajistics (Rajiv Shah | Explaining AI). This video has reached over 1,541 views, 75 likes, and 4 shares on TikTok.

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Original Video Caption:
How does Cursor search 50,000 files in half a second? Two indexes, not one: embeddings for meaning, trigrams for exact text. Trigrams turn search into instant lookups instead of reading every file. A Merkle tree spots which files changed so only those get re-embedded. Turbopuffer holds the vectors 20x cheaper than the old setup. Mostly 1970s and 1990s ideas, combined well.

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