[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"product:powabase":3},{"id":4,"name":5,"slug":6,"slogan":7,"description":8,"organization":5,"images":9,"avatar_url":10,"image_url":11,"website_url":12,"access_links":13,"status":18,"build_by":19,"categories":20,"stats":24,"upload_relationship":27,"create_at":28,"update_at":29,"owner_id":25,"upload_user_id":30,"reviewer_id":30,"video_info":31,"prerelease_cover_url":32,"scheduled_publish_at":31,"user_scheduled":33,"emoji_reacts":34,"tag":31,"pass_review":31,"user_star":33},2120,"Powabase","powabase","将 Postgres、高性能 RAG、智能体及可视化工作流融为一体的 AI 原生后端平台，助你一周内落地生产级 AI 应用。","{\"type\": \"doc\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"Powabase 是一款面向 AI 应用的后端开发平台，把 \", \"type\": \"text\"}, {\"text\": \"Postgres、RAG、Agent 与工作流自动化\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \" 整合进同一套基础设施里，更适合拿来搭建生产级 AI 应用，而不是只做一个能聊天的 Demo。它的核心思路是把团队原本要自己拼起来的向量库、Agent 框架、工作流引擎、鉴权、文件存储和数据库统一收进一个后端。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"和通用后端服务不同，Powabase 更偏向“为 AI 负载而生”。每个项目都会拥有独立隔离的基础设施栈，包含 Postgres + pgvector、API 网关、认证、存储和 AI 服务层，适合对数据隔离、检索能力和 Agent 执行链路有要求的团队。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"它的定位也很明确：不是给你一堆库自己慢慢接，而是直接提供统一 REST API，让文档接入、知识库、智能体、多智能体协同、工作流和数据库能力可以单独使用，也可以自由组合。对于想快速把 AI 产品做成 MVP，再继续往正式产品推进的团队来说，这种形态会省掉不少胶水代码。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"【产品功能】\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"Postgres + AI 后端一体化：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"Powabase 内置 Postgres、RLS、认证、对象存储和实时能力，既能承载业务数据，也能承载 AI 应用所需的向量检索和会话能力。开发者可以通过 PostgREST、类 REST\u002FGraphQL 风格接口，或直接数据库连接来访问数据。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"开箱即用的 RAG：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"支持上传 PDF、图片、Office 文件和 URL，系统会自动完成抽取、切分、Embedding 和索引，并支持 OCR、BM25、pgvector、混合检索和 reranker。除了通用切块外，它还提供 PageIndex、GraphIndex、Doc2JSON 等不同索引策略，适合长文档、交叉引用文档和结构化抽取场景。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"Agent 与多智能体协作：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"支持基于 ReAct 的 Agent 编排，Agent 可以挂载知识库、工具和会话记忆，并通过 SSE 实时返回工具调用、检索事件、token 流和引用信息。工具层支持内置工具、自定义 HTTP 工具和 MCP 服务；同时也支持由协调者 Agent 分派任务给多个专业 Agent，组成多智能体协作链路。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"可视化工作流自动化：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"支持用拖拽方式搭建多步骤工作流，把触发器、条件判断、Agent、HTTP 请求和代码执行拼成完整流程，也可以直接让自然语言 Copilot 帮你生成流程图。部署后，工作流还能直接变成 HTTP Endpoint，用来接 webhook、跑自动化任务或对接外部系统。\", \"type\": \"text\"}]}]}","https:\u002F\u002Fwatcha.tos-cn-beijing.volces.com\u002Fprod\u002Fuser\u002Fuploads\u002F10004627_1780380756_a2259f4a-e7c9-4be3-a9d3-ebe86ff73db2.png;https:\u002F\u002Fwatcha.tos-cn-beijing.volces.com\u002Fprod\u002Fuser\u002Fuploads\u002F10004627_1780380756_ddea6375-2354-4ef1-ac85-ce37caf54594.png;https:\u002F\u002Fwatcha.tos-cn-beijing.volces.com\u002Fprod\u002Fuser\u002Fuploads\u002F10004627_1780380756_4d5c4020-537b-4b94-82b0-6a87f9c88a65.png;https:\u002F\u002Fwatcha.tos-cn-beijing.volces.com\u002Fprod\u002Fuser\u002Fuploads\u002F10004627_1780380756_b01aa6e8-95dc-424e-b743-1ef70131d29d.png","https:\u002F\u002Fwatcha.tos-cn-beijing.volces.com\u002Fprod\u002Fuser\u002Fuploads\u002F10004627_1780380289_9693e300-1b00-45fb-994c-df29c21eb4f2.png","https:\u002F\u002Fwatcha.tos-cn-beijing.volces.com\u002Fprod\u002Fuser\u002Fuploads\u002F10004627_1780380302_a622191b-4a53-4d95-8819-58883e2ac69e.png","https:\u002F\u002Fpowabase.ai\u002F",{"items":14},[15],{"platform":16,"url":12,"is_primary":17},"WEB",true,"PUBLISHED",[],[21],{"id":22,"name":23},6,"编程开发",{"upvotes":25,"stars":25,"review_count":25,"reply_count":25,"update_at":26},0,"2026-09-08T00:08:44.23Z","THIRD_PARTY","2026-06-02T06:13:20.098Z","2026-06-02T06:16:16.178Z",10004627,null,"",false,{"reacts":35},[]]