關於這個工具
Bag of words 是一款開源 AI 分析師,旨在將任意 LLM 連接到任意資料來源,並實現集中式上下文管理、信任、可觀測性與控制。 其核心能力圍繞「知識掛具」(Knowledge Harness)構建,為智能體提供可用的上下文:包括限定範圍的連接、表與語義物件、檔案、工具、指令、身份、權限以及歷史證據。智能體可跨資料庫、服務、API、表、語義物件、文件和檔案開展工作。 該產品支援從 dbt、Tableau、程式碼、AGENTS.md 等來源攝取資料,並讓 AI 持續維護和監控上下文。AI 會根據回饋和用戶請求自動建議對上下文的改進與更新。 團隊可以建立自訂指令和 AI 規則,並配以審批工作流。評估與回饋形成自我改進閉環,使團隊能夠審查並推廣更好的指令,而不是讓智能體在無人監督的情況下自行更改規則。 Bag of words 適用於業務分析(收入與財務分析、營運審查、自助探索)以及技術調查(跨可觀測性系統、服務和資料庫的生產根因分析)。它提供高層效能指標,包括上下文覆蓋率和 AI 準確率。 該產品面向業務分析師、資料團隊和工程師,學習曲線為中等,並以開源形式發布。
功能與使用情境
Agents can work across databases, services, APIs, tables, semantic objects, documents, and filesAI will auto suggest improvements and updates to your context based on feedback and user requestsBusiness analysis: revenue and financial analysis, operating reviews, and self-serve exploration.Collect and track user feedback to improve AI accuracyCreate custom instructions and AI rules with approval workflowsEvals and feedback close the self-improvement loop, so teams can review and promote better instructions rather than giving an agent unchecked authority to change its own rulesFrom question to defensible result Bag of words runs a governed agentic loopGet high level performance metrics including context coverage, AI accuracyIngest from dbt, Tableau, code, AGENTS.md, and have AI continiously maintain and monitor your contextIntegrate to your existing tools like dbt, lookml, AGENTS.md, and moreIts Knowledge Harness is the context that makes the loop useful: scoped connections, tables and semantic objects, files, tools, instructions, identity, permissions, and prior evidenceManage agents Shape agents with data, tools, files, instructions, and evals
使用分析
資訊來源
每筆檔案都保留來源與最近驗證時間。相似工具
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