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## Background
**[Neural Sparse](https://opensearch.org/docs/latest/search-plugins/neural-sparse-search/)** is a semantic search method which is built on native Lucene inverted index. The documents…
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Add support for ensemble-based neural sparse search that combines results from multiple sparse models to improve search quality and robustness.
## Motivation
Research shows that ensemble of sparse…
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### Describe the blog post
Hybrid search is hard:
- How do users figure out which parameter set is best for them?
- What is the best normalization technique and how much neural/keyword search is …
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**Submitting author:** @leadang42 (Lea Dang)
**Repository:** https://github.com/ankilab/EvoVis.git
**Branch with paper.md** (empty if default branch):
**Version:** v1.0.0
**Editor:** Pending
**Review…
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Convergence of ML models such as Neural Nets is affected by the initial (random) weights. This effect is often mitigated by creating an ensemble of N instances of the ML model, where each is fitted us…
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### Is your feature request related to a problem?
Coming from https://github.com/opensearch-project/neural-search/issues/859. Refactored `HybridQueryTests` and `HybridQueryPhaseSearcherTests` in http…
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### 🚀 The feature, motivation and pitch
I'm encountering an issue with the `weights_only=True` parameter in `torch.load`, where I need to load custom model classes while ensuring repeatable results a…
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What are you proposing?
We’re adding multimodal (text and image) search support to our Neural Search experience. This capability will enable users to add multimodal search capabilities to OpenSearc…
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Can we memic this feature in OpenSearch https://www.elastic.co/search-labs/blog/semantic-search-simplified-semantic-text
I know that a lot has been done recently in OpenSearch projects to make thi…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…