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Building Harvey-style tabular review from scratch, but better
isaacus
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Zehra Rizvi
zbatool34
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Building Harvey-style tabular review from scratch, but better upvoted an article 4 months ago
Introducing AI chunking to semchunk upvoted an article 4 months ago
Introducing Kanon 2 Enricher — the world’s first hierarchical graphitization modelOrganizations
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Article
Introducing AI chunking to semchunk
isaacus
• • 9 Article
Introducing Kanon 2 Enricher — the world’s first hierarchical graphitization model
isaacus
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Kanon 2 Reranker: the most powerful reranker for legal RAG
isaacus
• • 7 reacted to umarbutler's post with 👍 9 months ago
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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
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
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upvoted a paper 9 months ago
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Australian-made LLM beats OpenAI and Google at legal retrieval
isaacus
• • 28 Article
Introducing the Massive Legal Embedding Benchmark (MLEB)
isaacus
• • 24