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`sqlite-vec` as of `v0.1.0` will be brute-force search only, which slows down on large datasets (>1M w/ large dimensions). I want to include some form of approximate nearest neighbors search before `v…
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Hello and thanks a lot for making this open-source !
I was wondering if you had considered the NMSLIB-HNSW approximate nearest neighbor algorithm for use with these embeddings, as according to ([he…
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The computation of the all-nearest-neighbors KNN is the bottleneck in UMAP and TSNE and both of these algorithms can get away with using approximate neighbors as the number of points grows very large.…
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**Description:**
The current implementation of the image similarity search process in the codebase is experiencing significant slowness, impacting overall system performance. When consuming tasks f…
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https://en.wikipedia.org/wiki/Nearest_neighbor_search
+ k-nearest neighbors
+ approximate nearest neighbor
+ nearest neighbor distance ratio
+ fixed-radius near neighbors
+ all nearest neighbors
ytgui updated
4 years ago
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## Description
For vector search, right now, we benchmark ANN methods that approximate nearest neighbor search. In addition to this, some users want to run exact k-NN search that returns the exact …
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### Description
It would be nice to support multiple values in a Knn vector field.
This must be compatible with both the Exact and Approximate Nearest Neighbor search.
There are two sides to the …
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## Tree-based approach
- [Optimised kd-trees for fast image descriptor matching](https://users.cecs.anu.edu.au/~hartley/Papers/PDF/SilpaAnan:CVPR08.pdf)
- [Data structures and algorithms for neare…
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In the "recommend_user" method of the "WideDeep" class, it uses "np.argpartition" and there are some other methods. I do not see any nearest neighbors library. (such as; Faiss, ScaNN)
Why wasn't an…
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We're currently lacking space storage on OVH2, due to Robotoff. We store in PostgreSQL all logo embeddings (7M currently, but many are missing) + all image embeddings (7M images, but only ~1M are in D…