Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Using the provided reference image, keep the exact crate construction with horizontal dark reddish-brown painted slats, iron hardware, three-panel face layout, and hand-painted black stencil lettering style, but replace the address text with ‘RAG’ in the same loose brushstroke style. Show the crate sitting open on a weathered wooden dock in soft early spring light, revealing neatly bundled stacks of vintage paper documents, letters, and reference materials tied with twine, with a few loose pages visible between bundles. Background is out-of-focus water and bare trees, photorealistic 1950s material world, warm raking light emphasizing wood grain and paper texture.
Cohere Transcribe: state-of-the-art speech recognition https://cohere.com/blog/transcribe
Chroma Context-1: Training a Self-Editing Search Agent·|·Chroma
https://www.trychroma.com/research/context-1
Chroma on X: “Introducing Chroma Context-1, a 20B parameter search agent. > pushes the pareto frontier of agentic search > order of magnitude faster > order of magnitude cheaper > Apache 2.0, open-source https://t.co/bhAkULyBBn” / X
https://x.com/trychroma/status/2037243681988894950
Jeff Huber on X: “the bitter lesson is coming for search we’re open-sourcing Context-1 – a model that is better, faster, and cheaper than any frontier model at searching we published a 40-page technical report on our website with the ins and outs of how we did it. this is just step 1” / X
https://x.com/jeffreyhuber/status/2037247377275576380
Cohear 👂 Cohere’s first audio model. Apache 2.0. #1 on the Open ASR leaderboard. Multilingual transcription across 14 languages.
https://x.com/aidangomez/status/2037172942803701838
🎉 Congrats to @Cohere on releasing Cohere Transcribe, a 2B speech recognition model (Apache 2.0, 14 languages). Day-0 support in vLLM. Cohere contributed encoder-decoder serving optimizations to vLLM: variable-length encoder batching and packed attention for the decoder. Up to
https://x.com/vllm_project/status/2037197243111895066
Introducing: Cohere Transcribe – a new state-of-the-art in open source speech recognition.
https://x.com/cohere/status/2037159129345614174
New SoTa transcription model from @cohere! – #1 on accuracy on the Open ASR Leaderboard. – Open Source (Apache 2.0) – 14 Languages (English, French, Arabic, German, Italian, Spanish, Portuguese, Greek, Dutch, Polish, Chinese, Japanese, Korean, Vietnamese).
https://x.com/JayAlammar/status/2037172878165053951
Victoria Slocum on X: “If you’re building a PDF RAG pipeline: Should you be using OCR and 𝘁𝗲𝘅𝘁-𝗯𝗮𝘀𝗲𝗱 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 methods, or just 𝗲𝗺𝗯𝗲𝗱 𝗶𝗺𝗮𝗴𝗲𝘀 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 using late interaction models? This paper says the answer might actually be 𝘣𝘰𝘵𝘩. My colleagues at Weaviate https://t.co/iNQOR56nnU” / X
https://x.com/victorialslocum/status/2037113651174199778
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