Comments (3)
lets make sure we are not overcomplicating the indexer and its usage.
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If this LMDB is not going to work on jcloud, please do not proceed with this idea. If there is a need for less memory, for now I would just expect to have proper contiguration from beginning.
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what will be the difference between this training data and the indexed data?
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Related Issues (20)
- Support for 16 bit quantization HOT 2
- Support Lucene backend via PyLucene HOT 1
- fix: links to documentation are broken HOT 2
- RuntimeError: wrong dimensionality of the vectors HOT 5
- RuntimeError: cannot return results
- add dump/backup endpoints
- Support for Mac with Apple Silicon HOT 1
- Can annlite be accelerated? HOT 4
- AttributeError: 'builtins.WriteOptions' object has no attribute 'set_sync' HOT 2
- annlite wrong filter name bug HOT 1
- Delete in executor does not works HOT 11
- Update does not work in annlite executor HOT 31
- Link missing in README.md HOT 2
- (bug)ID mismatch between hnsw and sqlite HOT 1
- ImportError in tests directory HOT 2
- 支持gpu? HOT 1
- Annliteindexer results change every bootup within a jina flow HOT 9
- AttributeError: 'builtins.WriteOptions' object has no attribute 'set_sync' HOT 1
- docarray extend is very slow HOT 6
- snapshot's index_hash has wrong value when deleting only HOT 1
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