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💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows
Retrieval and Retrieval-augmented LLMs
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
text2vec, 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。
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
A curated list of pretrained sentence and word embedding models
xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首，句子表征及文本相似度计算等功能
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
SGPT: GPT Sentence Embeddings for Semantic Search
unified embedding model
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
A Python vector database you just need - no more, no less.
Compute Sentence Embeddings Fast!
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
A Structured Self-attentive Sentence Embedding
Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法（论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码）
The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.
A curated list of research papers in Sentence Reprsentation Learning and a sts leaderboard of sentence embeddings.