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  "markdown": "Co-founder and Chief Scientist, KR Labs.\n\nGábor Recski co-founded KR Labs, which builds open-source NLP tools and AI systems whose answers point back to source text, and is its chief scientist. A computational linguist and researcher at TU Wien Informatics, he works on symbolic and hybrid models of natural language semantics and has co-authored more than 50 peer-reviewed publications.\n\n- LinkedIn: https://www.linkedin.com/in/grecski/\n\n## What Gábor builds\n\n- [Vela 2.0](https://www.anchorterminal.com/tools/vela.md), graded B, 67/100, in Decision models. Vela 2.0 is a family of four open-weight decision models from the vLLM Semantic Router project and KR Labs, released on 6 October 2026 under Apache-2.0 for routing, safety checks, personal-data spans and hallucination checks. Co-founder and Chief Scientist, KR Labs, researched 2026-10-28.\n\n## Works with\n\n- [Ádám Kovács](https://www.anchorterminal.com/people/adam-kovacs/), Co-founder and CTO, KR Labs; committer, vLLM Semantic Router\n- [Huamin Chen](https://www.anchorterminal.com/people/huamin-chen/), Maintainer and steering committee member (industry track); proposed the project in early 2025\n- [Xunzhuo Liu](https://www.anchorterminal.com/people/xunzhuo-liu/), Co-founder, maintainer and steering committee member (industry track)\n\n## Questions\n\n### Who is Gábor Recski?\n\nGábor Recski co-founded KR Labs, which builds open-source NLP tools and AI systems whose answers point back to source text, and is its chief scientist. A computational linguist and researcher at TU Wien Informatics, he works on symbolic and hybrid models of natural language semantics and has co-authored more than 50 peer-reviewed publications.\n\n### What does vLLM Semantic Router project and KR Labs make?\n\nAnchor Terminal lists Vela 2.0 from vLLM Semantic Router project and KR Labs. Vela 2.0 is a family of four open-weight decision models from the vLLM Semantic Router project and KR Labs, released on 6 October 2026 under Apache-2.0 for routing, safety checks, personal-data spans and hallucination checks.\n\n### How are Gábor's tools graded?\n\nVela 2.0 is graded B, 67 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.\n\n## Sources\n\n- https://vllm-sr.ai/blog/vela-2-0-open-foundation-routing-models\n- https://vllm-sr.ai/community/team\n- https://www.linkedin.com/in/adaamko/details/experience/\n- https://www.linkedin.com/in/adaamko/\n- https://www.linkedin.com/in/bitliu/details/experience/\n- https://www.linkedin.com/in/bitliu/\n- https://vllm-sr.ai\n- https://github.com/vllm-project/semantic-router\n- https://vllm-sr.ai/\n\nThese are the people building the tools we list, named for their public role in the company or project behind a listing, from public pages, with the date it was researched. They don't work for Anchor Terminal (our own team is on the about page, /about/#author). We show public roles, public profiles and what the listing pages show, nothing private. To correct something, send an about or a photo, or have a page removed, write to privacy@anchorterminal.com.\n",
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