PyPI recent updates for embs https://pypi.org/project/embs/ Recent updates to the Python Package Index for embs en 0.1.8 https://pypi.org/project/embs/0.1.8/ Embs is a lightweight Python toolkit for document retrieval, embedding generation, and ranking—ideal for RAG-based AI, chatbots, and search systems with caching support. lamhieu.vk@gmail.com Sun, 02 Feb 2025 09:57:49 GMT 0.1.7 https://pypi.org/project/embs/0.1.7/ Embs is a lightweight Python toolkit for document retrieval, embedding generation, and ranking—ideal for RAG-based AI, chatbots, and search systems with caching support. lamhieu.vk@gmail.com Sun, 02 Feb 2025 08:01:00 GMT 0.1.6 https://pypi.org/project/embs/0.1.6/ Embs is a lightweight Python toolkit for document retrieval, embedding generation, and ranking—ideal for RAG-based AI, chatbots, and search systems with caching support. lamhieu.vk@gmail.com Sun, 02 Feb 2025 06:54:04 GMT 0.1.5 https://pypi.org/project/embs/0.1.5/ Embs is a lightweight Python toolkit for document retrieval, embedding generation, and ranking—ideal for RAG-based AI, chatbots, and search systems with caching support. lamhieu.vk@gmail.com Sun, 02 Feb 2025 06:10:40 GMT 0.1.4 https://pypi.org/project/embs/0.1.4/ Embs is a lightweight Python toolkit for document retrieval, embedding generation, and ranking—ideal for RAG-based AI, chatbots, and search systems with caching support. lamhieu.vk@gmail.com Sun, 02 Feb 2025 05:54:48 GMT 0.1.3 https://pypi.org/project/embs/0.1.3/ Embs is a Python toolkit for retrieving documents (via Docsifer), generating embeddings (via Lightweight Embeddings API), and ranking texts with an optional caching system. lamhieu.vk@gmail.com Sun, 02 Feb 2025 05:50:36 GMT 0.1.2 https://pypi.org/project/embs/0.1.2/ Embs is a Python toolkit for retrieving documents (via Docsifer), generating embeddings (via Lightweight Embeddings API), and ranking texts with an optional caching system. lamhieu.vk@gmail.com Mon, 27 Jan 2025 09:12:23 GMT 0.1.1 https://pypi.org/project/embs/0.1.1/ Embs is a Python toolkit for retrieving documents (via Docsifer), generating embeddings (via Lightweight Embeddings API), and ranking texts with an optional caching system. lamhieu.vk@gmail.com Mon, 27 Jan 2025 08:22:57 GMT