BAAI-bge-large-zh-v1.5BAAI Embedding语义向量微调参考链接 1.3 重排序模型(Reranker)参考链接：http...
Description wwjCMP wwjCMP closed this ascompletedon Apr 14, 2024 wwjCMP changed the titleSupport bge-large-zh-v1.5 and bge-reranker-largeSupport bge-reranker-largeon Apr 14, 2024 Sign up for freeto join this conversation on GitHub.Already have an account?Sign in to comment...
search_engine = SEARCH_ENGINES["duckduckgo"] #metaphor,duckduckgo if USE_RERANKER: reranker_model_path = MODEL_PATH["reranker"]["bge-reranker-large"] RERANKER_MODEL = LangchainReranker( top_n=VECTOR_SEARCH_TOP_K, device=embedding_device(), max_length=RERANKER_MAX_LENGTH, model_name_or_...
5. 配置 RERANK MODEL6. 创建知识库7. 创建应用8. 测试模型本地知识库所需要准备1. 所需模型类型平台 模型LM MODELollama gemma:7b-instructEMBEDDING MODELollama gemma:7b-textRERANK MODELxinference bge-reranker-large2. 所需要测试数据源书籍资源池可以自行下载...
LocalAI is also waiting for support for RerankersPlease support reranker APImudler/LocalAI#2018 Xorbit Xinference is alreadyFEAT: Support rerank modelsxorbitsai/inference#672 As for previously noted issues there are these two#3630#3631 This was referencedMay 14, 2024 ...
],"tabAutocompleteModel": {"title":"Tab Autocomplete","provider":"ollama","model":"qwen2.5-coder:14b"},"embeddingsProvider": {"provider":"ollama","model":"quentinz/bge-large-zh-v1.5:latest"},"reranker": {"name":"free-trial"}, ...
一、向量模型选型:BGE-M3 1.1 技术背景 北京智源人工智能研究院(BAAI)研发的 BGE-M3(多语言长文本向量检索模型),以其独到的 Multi-Linguality(多语言)、Multi-Functionality(多功能)和 Multi-Granularity(多粒度)特性,成为新一代通用向量模型标杆 1。
7. 启动 Rerank 模型: 安装dify 1. 系统要求 在安装 Dify 之前,请确保您的机器满足以下最低系统要求:CPU >= 2 CoreRAM >= 4GB 2. 快速启动 启动Dify 服务器的最简单方法是运行我们的 docker-compose.yml 文件。在运行安装命令之前,请确保您的机器上安装了 Docker 和 Docker Compose: ...
bge-reranker-large BAAI Cross-Encoder语义向量微调参考链接 1.4 IMAGE 模型 Xinference 还支持图像模型,使用图像模型可以实现文生图、图生图等功能。Xinference 内置了几种图像模型,分别是 Stable Diffusion(SD)的各个版本。部署方式和文本模型类似,都是在 WebGUI 界面上启动模型即可,无需进行参数选择,但因为 SD 模...