vec2text/vec2text

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1136 stars · 117 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library for text embedding inversion: training and running models that reconstruct text sequences from their sentence embeddings. It accompanies research papers showing that text embeddings reveal almost as much as the original text.

Use cases

• reconstruct text from sentence embeddings
• invert OpenAI ada-002 embeddings back to text
• train a custom embedding inversion model
• study privacy risks of text embeddings
• evaluate how much information embeddings leak
• decode deep representations back to text

When to choose

• you need to invert embeddings from supported models like text-embedding-ada-002
• you are researching embedding privacy or information leakage
• you want to train inversion models on your own embedders

When to avoid

• you just need embeddings, not inversion
• you need production-grade text generation rather than research tooling
• your embedder has no pre-trained inversion model and you cannot train one

Facets

library · maturity active

machine-learning nlp rag machine-learning privacy security python embedding-inversion text-embedding privacy-research huggingface transformers natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="vec2text/vec2text")