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unstructured.io
| | qwenlm.github.io
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| | GITHUB HUGGING FACE MODELSCOPE DISCORD We release Qwen3 Embedding series, a new proprietary model of the Qwen model family. These models are specifically designed for text embedding, retrieval, and reranking tasks, built on the Qwen3 foundation model. Leveraging Qwen3's robust multilingual text understanding capabilities, the series achieves state-of-the-art performance across multiple benchmarks for text embedding and reranking tasks. We have open-sourced this series of text embedding and reranking models under the Apache 2.
| | snorkel.ai
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| | Discover common RAG failure modes and how to fix them. Learn how to optimize retrieval-augmented generation systems for max business value.
| | blog.nomic.ai
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| | Nomic releases a 8192 Sequence Length Text Embedder that outperforms OpenAI text-embedding-ada-002 and text-embedding-v3-small.
| | jimmeruk.com
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| [AI summary] The blog post discusses the importance of perseverance and completing tasks despite challenges.