Text Embedding Python Packages

mteb

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

instructorembedding

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

qwen3-embed

Lightweight Qwen3 text embedding and reranking via ONNX Runtime and GGUF

gritlm

Generative Representational Instruction Tuning

embeddingcache

Retrieve text embeddings, but cache them locally if we have already computed them.

lens-embed

Provides shared embedding models for the lens family, enabling direct comparison of vectors across text and image modalities through a unified vector space.

m3serve

Optimised BAAI/bge-m3 serving with dense + sparse + ColBERT embeddings, async dynamic batching and pipeline GPU inference

semaclust

Semantic text clustering using sentence embeddings and agglomerative clustering.

sentrev

Simple customizable evaluation for text retrieval performance of Sentence Transformers embedders on PDFs

vecstore-rs

The perfect vector database - 100/100 score, embeddable, high-performance, production-ready with RAG toolkit