Explore tweets tagged as #embedanything
When you build something valuable, Enterprises notice.๐. Check out the blog post written by Milvus, where.It outlines the best practices and the flexibility of using different file types with #embedanything ๐ฆ Adapters. I highly recommend that you go through this blog
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Super Excited to have finally met @BhosalePratim ๐. She has been so supportive of #embedanything ๐ฆ, and genuinely understands what we are trying to buildโ๏ธ. I rarely connect with someone so well on the first date ๐, but we clicked instantly. Check out our upcoming podcast
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Qwen is crushing it on the benchmarks, including Qwen3-embedding on MTEB! . #embedanything ๐ฆ has been supporting it for almost a month. Since I haven't made any video tutorials in a long time, here we go, plus a bonus notebook ๐.
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Summary (model): Just four lines of code are underrated. It gives a good overview of the architecture and layers, We use it extensively while writing our inference for #embedanything ๐ฆ. PS: Qwen-embeddings coming soon in embedanything ๐
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It's been quite a long time since I made a video tutorial on updates of #embedanything ๐ฆ. Qwen3 embedding dropping soon ๐
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The tiny, beautiful device AI market -The on-device generative AI market has a total of $1T TAM by 2035. predicted by -Ramin Hassani, CEO @LiquidAI_. We developed everything you need to infer, ingest, and search on your device, with high memory efficiency with #embedanything๐ฆ
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It's getting harder and harder to keep up with devs' demands and expectations for #embedanything ๐ฆ. It needs a team now!!
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Explore how vector streaming enhances EmbedAnything, improving efficiency in large-scale document embeddings with Rust's concurrency model. { author: @akshayballal95 } #DEVCommunity #RustLang.
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@hrishikesh_ai @blwiertz Hey @blwiertz , check out #embedanything ๐ฆ. Ingestion, inference and indexing in rust that has been making quite a buzz, with 250k downloads and 600+ stars. Would love to meet other builders. Thank you @hrishikesh_ai for mentioning me. ๐ซถ.
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๐๐ถ๐ด ๐ง๐ต๐ถ๐ป๐ด๐ ๐ฆ๐๐ฎ๐ฟ๐ ๐ฆ๐บ๐ฎ๐น๐น: . It took embedanything 9 months to cross 100K+ downloads but only 3 months to reach 200K+. Thanks to all the contributors, collaborators, people who use it in production, people who use it for experimentations, and the word of mouth.
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