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Danny Williams

Machine Learning Engineer · Weaviate · 10.4K followers · LinkedIn benchmark, last 12 months (original)

Weaviate company report →
data through 2026-07-17

Report card vs prior 12 months

Avg eng/post

362

+3%

Median eng/post

170.5

-13%

Posts/wk

0.4

-43%

Total eng.

7.2K

-41%

Trend (monthly — bars are posts, line is avg engagement per post)

Top categories

  • Industry Insight — smart avg 401.9 across 12 posts (2.4× typical)

Top posts

  • 2025-10-07 · Industry Insight1.5K eng. (1.3K likes · 44 comments · 137 shares)

    I've been building RAG systems wrong this whole time. Turns out we're processing 90% irrelevant information. REFRAG fixes this massive incon

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  • 2025-09-17 · Industry Insight1.1K eng. (921 likes · 23 comments · 134 shares)

    You might think all chunking strategies are created equal. You'd be wrong - the difference is 𝘮𝘢𝘴𝘴𝘪𝘷𝘦. Chunking is arguably the most

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  • 2025-11-05 · Industry Insight823 eng. (706 likes · 24 comments · 93 shares)

    Stop predicting tokens with your LLM. Start predicting vectors. Every modern LLM, from GPT to DeepSeek, follows the same fundamental process

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  • 2025-08-12 · Product Update743 eng. (655 likes · 23 comments · 65 shares)

    Announcing Elysia - an open source LLM agentic Python package that doesn’t just call tools. Elysia evaluates at every step in a decision tre

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  • 2026-02-02 · Industry Insight608 eng. (524 likes · 17 comments · 67 shares)

    91.3% accuracy vs 0%. Same model. Same task. The only difference: treating your prompt as code instead of text. Recursive Language Models (R

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2025-08-042026-08-04 · Benchmark by Imagine AI · methodology at benchmark.imagineai.me/dashboard/methodology