Data pipeline framework. ThoughtWorks Radar: Trial. 38K GitHub stars, 680K weekly downloads.
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Alibaba's gte-Qwen2-7B-instruct has claimed the top position on MTEB with ~70% overall score, excelling in retrieval (nDCG@10) and semantic textual similarity tasks. The 7B parameter model with 3584 dimensions outperforms NVIDIA's NV-Embed-v2 and Voyage AI's voyage-3-large.
Text embedding models have emerged as a distinct category in the AI stack, with MTEB standardizing evaluation across 8 task types. The top performers (gte-Qwen2, NV-Embed-v2, voyage-3-large) achieve ~70% overall scores with vector dimensions ranging from 768 to 4096, enabling specialized retrieval and semantic search applications.
Google has announced TensorFlow 2.x will enter maintenance mode in Q2 2026, with new development focused on JAX and TensorFlow 3.0 architecture.