community-automations/mongodb-recommender

研究與情報

PublicClaude 子代理

MongoDB 推薦引擎

類型篩選只會推給人人在看的那幾部大片。這個推薦引擎讀的是觀眾真正描述的感受，找出對味的片單。

sonnet4 天MongoDB AtlasAtlas SearchOpenAI EmbeddingsNode.js
ClaudeClaude
ROI for
README.md

為什麼選擇此子代理

類型篩選只會推給人人在看的那幾部大片。這個推薦引擎讀的是觀眾真正描述的感受，找出對味的片單。

電影資料存在 MongoDB Atlas，向量嵌入透過 Atlas Search 與原始文件並列索引。每次查詢執行一次混合搜尋，將向量相似度與評分、類型篩選條件融合，回傳排序後的推薦清單，每部片都附一句從劇情簡介提煉出的推薦理由。

運作方式

    • Read

      Used at step 01 to kick off the pipeline.

    • Write

      Used at step 01 to kick off the pipeline.

    • WebFetch

      Used at step 01 to kick off the pipeline.

    • WebSearch

      Used at step 01 to kick off the pipeline.

輸出範例

json
// Sample output
// (generated when the pipeline finishes)

Given a user's described taste, return ranked movie recommendations from MongoDB Atlas with a one-line reason per title.

Unlock the rest

The full agent definition, install snippet, and starter task are gated for community members.

Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.