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### Description
The current implementation of retrievers follows closely to the original RRF (Reciprocal Rank Fusion) paper. I wonder if weighting could be introduced such that one result set has a h…
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Put in speed comparisons with all the different solvers that Shogun has.
Nice and friendly easy entrance task
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Currently, there are multiple solvers used in KNN.
All of this is done in a flat structure in a single implementation file.
This task is to build a version that respects the object oriented paradigm…
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I am attempting to use the following script, but run into issues with the `LIMIT` clause.
```sql
.echo on
.load sqlite-vec/dist/vec0.so
CREATE VIRTUAL TABLE vectors using vec0(
id …
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I've been reviewing the efficient filtering logic of FAISS HNSW as described in the OpenSearch documentation: https://opensearch.org/docs/latest/search-plugins/knn/filter-search-knn/
## Observation…
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### Description
Currently the only way for users to do a brute-force or exact search with KNN is with a script query. This requires some knowledge of the function names and scoring methodologies.
…
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From @elisno :
```
class OutlierIssueManager:
...
def collect_info(self, *, knn_graph: Optional[csr_matrix] = None) -> dict:
issues_dict = {
"average_ood_score": self.issue…
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Implement multithreaded search for nearest neighbors in c++ to compute the algorithm faster.
Oriun updated
2 years ago
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how to solve TypeError: Neighbors.compute_neighbors() got an unexpected keyword argument 'write_knn_indices'
TypeError Traceback (most recent call last)
Cell In[70]…
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if i made a PR adding documentation on how to index objects for KNN using django-elasticsearch-dsl, would it be accepted ?
got stuck on this for a while and would like to eliminate this redundanc…