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Models: LLMs, embeddings and world models

Adapted models published by Labs.

2 result(s) 
- [3g8wa] BGE-M3 embeddings for RAG over long documents | embedding | en | MIT | https://contextetech.com/en/embeddings/bge-m3-long-documents-3g8wa
- [zvv1tk] nomic-embed-text embeddings locally with Ollama | embedding | en | MIT | https://contextetech.com/en/embeddings/nomic-embed-text-ollama-en-zvv1tk
contextetech

BGE-M3 embeddings for RAG over long documents

BGE-M3 for RAG over long documents: 1024 dimensions, up to 8,192 tokens, 100+ languages, no prefix needed. MIT license.

Configuration1024 dim. 2 days
contextetech

nomic-embed-text embeddings locally with Ollama

nomic-embed-text for a 100% local English RAG with Ollama: 768 dimensions, long texts, search_query: / search_document: prefixes. Apache 2.0.

Configuration768 dim. 2 days

What is an AI model?

An AI model is a system trained on data to generate responses, classify information or perform other tasks. This family brings together models published by Labs, including versions adapted to a task, merged or compressed to use fewer resources.