Comments (2)
deduplicated the original data and found about a 20% reduction but this isn't a satisfactory solution because the same data in different documents may mean information gain from context.
this could also be an issue with HNSW during construction or simply not enough data for the construction in early inference due to so many common types of language in test documents
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fixed it so far
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Related Issues (19)
- 𧲠feat(release): add embedding->milvus pipeline HOT 1
- 𧲠feat(workflow): field.exciter -> jobs
- 𧲠feat(workflow): field.conduct -> job processing
- 𧲠feat(release): Magnet() HOT 1
- 𧲠feat(release): non-mlx CPU inference
- 𧲠feat(release): distributed querying
- π§ feat(wip): NATS callbacks HOT 2
- π§ make nlp splitting optional
- π§ feat(wip): NATS client.stats
- π fix(workflow): separate field.resonator's processing logic from .on()
- 𧲠feat(workflow): enhance instruct model utilization
- 𧲠feat(perf): MLX embedding utility
- 𧲠feat(perf): hash entries
- π feat(workflow): logging
- 𧲠feat(perf): make filings.process print when it is exporting the file HOT 1
- π§²feat(perf): Add NATS functionality
- 𧲠feat(workflow): configure NATS more deeply HOT 2
- 𧲠feat(workflow): add mongo connector HOT 1
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