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Noted requirements include Python 3.10+, Go 1.22+, and GCC 9+ or Clang 11+, compatible with Linux, macOS, and Windows platforms. Setup is possible via pip install openviking --upgrade --force-reinstall, with an optional Rust command-line tool named ov_cli that can be installed through scripting or compiled via Cargo. OpenViking deployment necessitates two model functionalities: a VLM Model for visual and content comprehension, and an Embedding Model for vector conversion and semantic retrieval. Compatible VLM avenues incorporate Volcengine, OpenAI, and LiteLLM, while sample server setups include OpenAI embeddings via text-embedding-3-large and an OpenAI VLM instance using gpt-4-vision-preview.
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面对How to wat带来的机遇与挑战，业内专家普遍建议采取审慎而积极的应对策略。本文的分析仅供参考，具体决策请结合实际情况进行综合判断。