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Introducing Kanon 2 Enricher — the world’s first hierarchical graphitization model
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Zehra Rizvi
zbatool34
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upvoted an article 3 days ago
Introducing Kanon 2 Enricher — the world’s first hierarchical graphitization model upvoted an article 3 days ago
Kanon 2 Reranker: the most powerful reranker for legal RAG reacted
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I'm excited to announce the release of Kanon 2 Embedder, the world's best legal embedding model, ranked first on the Massive Legal Embedding Benchmark 🎉
This model is the product of quite literally months of painstaking work alongside @abdurrahmanbutler collecting, cleaning, and processing terabytes of data as well as coming up with novel improvements to the standard embedder training recipe to push the limits of what's possible.
Kanon 2 Embedder is my most advanced model to date. On MLEB, it benchmarks as 9% more accurate than OpenAI's best embedding model and 30% faster.
Even when truncated from 1,792 to 768 dimensions, Kanon 2 Embedder continues to hold the number one spot on MLEB.
Importantly, Kanon 2 Embedder is also privacy and security friendly — unlike Voyage, Cohere and Jina, none of your data is used to train our models by default.
Kanon 2 Embedder can also be self-hosted for enterprises with heightened security or reliability requirements.
You can read the full announcement on our blog to learn how we did it and how you can get started using Kanon 2 Embedder to embed your own legal documents: https://isaacus.com/blog/introducing-kanon-2-embedder Organizations
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upvoted 2 articles 3 days ago
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Kanon 2 Reranker: the most powerful reranker for legal RAG
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upvoted a paper 5 months ago
upvoted 2 articles 5 months ago
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Australian-made LLM beats OpenAI and Google at legal retrieval
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Introducing the Massive Legal Embedding Benchmark (MLEB)
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