Wikipedia2vec alternatives for AI agents.

Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)

Bringing BERT into modernity via both architecture changes and scaling

Retrieval and Retrieval-augmented LLMs

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。

Fast State-of-the-Art Static Embeddings

Persian NLP Toolkit

100+ Chinese Word Vectors 上百种预训练中文词向量

Solves basic Russian NLP tasks, API for lower level Natasha projects

Implementation of the node2vec algorithm.

unified embedding model

VectorFlow 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.

Nomic Developer API SDK

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

The Clay Foundation Model - An open source AI model and interface for Earth

WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.