Atlas (language model)
Atlas is a retrieval-augmented language model developed by researchers at Meta AI (the group then known as Facebook AI Research, or FAIR).
Large Language Models
Explore language models, how they work, and the techniques used to build applications with them.
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Browse subtopics: Information Retrieval
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EmbeddingGemma
EmbeddingGemma is an open text embedding model from Google, released in September 2025, that turns text into dense numeric vectors for search, retrieval, classification, and clustering.
Multi-hop RAG
Multi-hop RAG is a family of retrieval-augmented generation techniques designed to answer questions that require composing evidence from two or more documents or text chunks.
Qwen3 Embedding
Qwen3 Embedding is a family of open text embedding and reranking models released by Alibaba's Qwen team in June 2025.