Comments (3)
erikbern
commented on May 18, 2024
I don't understand... why don't you just compute the distance between A1 and all A2...An? You don't need Annoy to do this...
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kentkawai
commented on May 18, 2024
Ah, maybe I misunderstood. I thought ANN is the fast algorithm to get NN for one vector.
Thank you for your suggestion.
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erikbern
commented on May 18, 2024
That's O(n) so it's hard to optimize...
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Related Issues (20)
- Build parallalization is not working. HOT 2
- Support annoy index loading from binary index data
- How many trees should I use? HOT 2
- Memory Leak in Annoy (get_nns_by_vector)? HOT 8
- Annoy Object Not Pickle'able HOT 1
- Add sample weights to distance metric? HOT 3
- Source distribution not availabe for 1.17.2 version HOT 2
- Unable to inherit the AnnoyIndex class HOT 2
- doesn't work correctly if torch tensor is input. But also doesn't throw error. Pls add an assertion that this only takes np arrays not torch tensors HOT 2
- _Vector should use position-only parameter for the index HOT 3
- How do you reduce a vector to 2 coordinates HOT 1
- [Distance] What did I do wrong?
- [MSVC] Annoy failed to run test on Windows HOT 1
- Some segment faults HOT 1
- Regarding updating an existing ANNOY model HOT 2
- Anyone tried storing trees and nodes in DynamoDB? HOT 1
- Is there any workaround to be able to use the Chebyshev distance with this library? HOT 1
- from annoy import AnnoyIndex
- Annoy build failed in MSVC x86 mode
- Using a built Annoy tree in a different device HOT 1
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