modelHugging FaceTrust 88 · LabPublished 2mo agoLive · 3mo ago0 graph score
EmbedMax
A state-of-the-art text embedding model for retrieval.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownEmbedex →
- LinkedLinked via unknownVectorStore Studio →
- LinkedLinked via unknownEmbedding →
- LinkedLinked via unknownSet up a retrieval pipeline →
- LinkedLinked via unknownForewarned is Forearmed: When Non-Sequential Embedding Turns Into an Anomaly Detector →
- LinkedLinked via unknownSTEB: Style Text Embedding Benchmark →
- PossiblePossibly related (embedding) · 49%Improving Ad-hoc Search Effectiveness for Conversational Information Retrieval via Model Merging →
Related to (incoming)
Explains (incoming)
Has model (incoming)
paperForewarned is Forearmed: When Non-Sequential Embedding Turns Into an Anomaly DetectorpaperField Order Should Not Matter: Permutation-Invariant Embedding Model Fine-Tuning for Structured Metadata RetrievalpaperSTEB: Style Text Embedding BenchmarkpaperImproving Ad-hoc Search Effectiveness for Conversational Information Retrieval via Model MergingpaperSimilarity search generalisation in contrastive learning with InfoNCE loss
Related across the graph
repomanaskng/opp-lenspaperField Order Should Not Matter: Permutation-Invariant Embedding Model Fine-Tuning for Structured Metadata RetrievalpaperForewarned is Forearmed: When Non-Sequential Embedding Turns Into an Anomaly DetectorpaperSimilarity search generalisation in contrastive learning with InfoNCE losstoolVectorStore StudiopaperImproving Ad-hoc Search Effectiveness for Conversational Information Retrieval via Model MergingtutorialSet up a retrieval pipelinecompanyEmbedexglossary_termEmbeddingpaperSTEB: Style Text Embedding Benchmark