Text Embeddings Python Packages

infinity-emb

Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali

eeane

Run text embedding and reranking models on the Apple Neural Engine of Apple Silicon Macs. OpenAI-compatible server; ModernBERT, BERT, and XLM-RoBERTa.

grepctl

BigQuery Semantic Search Orchestrator

gnn-augment

pip install gnn-augment — graph-augmented GNNs (GCN, GraphSAGE, GAT, GIN) for semi-supervised node classification: replace the adjacency with Katz / Rooted PageRank / Graph Gravity / LLM text-embedding views, multi-view training, sparse mode for large graphs (arXiv:1905.09087)

giga-embeddings-mlx

Local Russian and English text embeddings for semantic search and RAG on Apple Silicon — native MLX runtime and tested Q8 Giga Embeddings 0826 models.

embed

Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali

thetextdata

Python library to embed text into vectors (spaCy Universal Sentence Encoder) and store them as Veri feature-store entries

open-text-embeddings

Open Source Text Embedding Models with OpenAI Compatible API

quanfire-multilingual-embedding

Indic-first embeddings you can actually ship. Documented sources. Weights: CC BY-SA 4.0.

xplainsim

A research toolkit for decomposing and explaining text similarity across neural, structured, and symbolic levels.

embeddingcache

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

autokluster

Auto-k spectral clustering for text embeddings

picture-text

Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)