Embedding Inversion via Conditional Masked Diffusion: recover original text from embedding vectors using parallel denoising. Live demo + training pipeline + technical report.
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Updated
Mar 7, 2026 - Python
Embedding Inversion via Conditional Masked Diffusion: recover original text from embedding vectors using parallel denoising. Live demo + training pipeline + technical report.
🛠 Reconstruct original text from text embeddings using conditional masked diffusion to reveal reversible embedding representations efficiently and accurately
Enterprise Knowledge Agent(企业知识智能体):基于 RAG(检索增强生成)、LangGraph(智能体编排)、DeepSeek(大语言模型)、Elasticsearch(全文检索)和 pgvector(向量检索)的企业知识问答系统,支持文档上传、混合检索、精排序、证据校验、图表回答与执行路径。
Self-hosted web client for LM Studio with offline RAG, OCR for scanned PDFs, and multilingual embeddings. Vanilla JS, Docker, MIT.
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