01.05.02.DeepSeek:环境搭建篇(RAG 检索增强生成工具AnythingLLM: 集成Ollama+PostgreSQL)
操作流程1、创建项目2、配置3、测试下载安装创建工作区配置LLM首选项ollama向量数据库方式一LanceDB修改向量数据库存储数据的路径mkdir-p/mnt/D/deepseekchmod0777-R/mnt/D/deepseekchown$USER:$USER-R/mnt/D/deepseekmv/root/.config/anythingllm-desktop/storage/lancedb /root/.config/anythingllm-desktop/storage/lancedb.backmv/home/dkli/.config/anythingllm-desktop/storage/lancedb /home/dkli/.config/anythingllm-desktop/storage/lancedb.bakln-s/mnt/D/deepseek/lancedb/ /root/.config/anythingllm-desktop/storageln-s/mnt/D/deepseek/lancedb/ /home/dkli/.config/anythingllm-desktop/storagechmod0777-R/root/.config/anythingllm-desktop /home/dkli/.config/anythingllm-desktopchown$USER:$USER-R/root/.config/anythingllm-desktop /home/dkli/.config/anythingllm-desktop# 查看是否超链接成功cd/root/.config/anythingllm-desktop/storagels-la#也可以 修改配置文件# 修改 STORAGE_DIR的值为/mnt/D/deepseek#cd /home/dkli/.config/anythingllm-desktop/storage#cd /root/.config/anythingllm-desktop/storage#gedit .env方式二PGVectorpostgresql://anythingllm:QwE123*~*localhost:5432/vector_db anythingllm_vectors嵌入首选项方式一AnythingLLMEmbedder方式二nomic-embed-textollama pull nomic-embed-text测试提出问题查看回答