Model2vec alternatives for AI agents.

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.

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。

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

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

Bringing BERT into modernity via both architecture changes and scaling

Retrieval and Retrieval-augmented LLMs

unified embedding model

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

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

Persian NLP Toolkit

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.

A blazing fast inference solution for text embeddings models

A 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.).

Implementation of the node2vec algorithm.