Retrieval and Retrieval-augmented LLMs
$ npx skills add FlagOpen/FlagEmbeddingAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Bringing BERT into modernity via both architecture changes and scaling
Retrieval and Retrieval-augmented LLMs
$ npx skills add FlagOpen/FlagEmbeddingUnify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
$ npx skills add NovaSearch-Team/RAG-Retrievaltext2vec, text to vector. 文本向量表征工具,把文本转化为向量矩阵,实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型,开箱即用。
$ npx skills add shibing624/text2vecPre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
$ npx skills add bheinzerling/bpembFast State-of-the-Art Static Embeddings
$ npx skills add MinishLab/model2vec100+ Chinese Word Vectors 上百种预训练中文词向量
$ npx skills add Embedding/Chinese-Word-VectorsSolves basic Russian NLP tasks, API for lower level Natasha projects
$ npx skills add natasha/natashaFuzzy string matching, grouping, and evaluation.
$ npx skills add MaartenGr/PolyFuzzA blazing fast inference solution for text embeddings models
$ npx skills add huggingface/text-embeddings-inferenceA python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
$ npx skills add MilaNLProc/contextualized-topic-modelsImplementation of the node2vec algorithm.
$ npx skills add eliorc/node2vecunified embedding model
$ npx skills add wangyuxinwhy/uniemVectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice.
$ npx skills add dgarnitz/vectorflowNomic Developer API SDK
$ npx skills add nomic-ai/nomicA tool for learning vector representations of words and entities from Wikipedia
$ npx skills add wikipedia2vec/wikipedia2vecCollect, organize, use, and share, all in OmniBox.
$ npx skills add import-ai/omniboxHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep ModernBERT if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.