Bringing scattered sources into a single search — the unified knowledge workspace UseSources

Описание и применение

UseSources объединяет внутренние и внешние источники информации в единую систему RAG и рабочее пространство, позволяя пользователям быстро находить ответы и управлять доступом через один проект.

Задача

Information needed for work is scattered across internal wiki, tasks, chat and external SaaS (Notion, Slack, Confluence, Jira, Google Drive), causing time‑wasting multi‑tool searches and making it hard to give AI context.

Результат

UseSources reduced search time by consolidating multiple tools into one interface, improved AI context provision, and streamlined permission management. Users reported that searching became time spent reading rather than hunting.

Рабочий процесс

• Create a project – automatically generates a wiki page, task board, and chat channel.
• Add members to the project – permissions are set once for all sub‑components.
• Connect external SaaS (Notion, Slack, Confluence, Jira, Google Drive) via connectors – documents are ingested asynchronously into the shared index.
• Search using the unified search bar – the AI agent returns the answer and the source location.
• Open the referenced document or chat thread directly from the search result.
• Use the task board and wiki pages for ongoing work – tasks are treated as pages and share the same search index.
• Review weekly – view pages and tasks that moved together, write notes directly in task bodies.
• Iterate – add new connectors or projects as needed.

Доказательства

The connector has actually synced about 3,000 documents from Notion and been verified end to end (E2E).

Источник

The response dropped to 1.73 seconds after making ingestion asynchronous.

Источник

Creating a project produces a three‑part set at once: a wiki page, a task board, and a dedicated chat channel.

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