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Takibi BaseVerified tool

Takibi Base is a shared knowledge base for AI agents that organizes team documents and controls what each agent can read. It returns exact matching passages with citations through its CLI or API.

About Takibi Base

Takibi Base is a shared knowledge base for AI agents. Teams can organize documents, set agent-specific document permissions, and retrieve cited source passages when agents ask questions.

What it does

Stores documents in projects and folders.

  • Converts uploaded files to Markdown so agents can search them.
  • Lets agents query permitted sources through the CLI or API and receive matching passages with citations.
  • Returns no passages when it finds no matching evidence.
Key features
  • Profiles that hold keys and document-access permissions for individual tools or agents.
  • Folder-level access controls, with project-level access available for broader permissions.
  • Key management, including individual key rotation or revocation and the ability to pause a Profile.
  • Document status tracking for indexed, converting, and quarantined files.
  • Original-file downloads, text extraction, and project export in Open Knowledge Format (OKF).
  • Query responses that include passages, citations, and an evidence support score.
  • Profile activity views for reviewing requests from keys and changes to a Profile.
  • Private, Profile-specific notes with a fixed 30-day lifetime that can be reviewed before being added to source documents. What makes it different Takibi Base emphasizes source-grounded retrieval: agents receive the exact source text and a citation for each returned passage. Its Profile model combines keys with explicit document permissions, helping teams control which projects and folders each agent can read.

Use Cases

  • 1.Create a controlled document library that different AI agents can search based on their assigned folder or project permissions.
  • 2.Retrieve exact passages and citations from internal documents for agent responses that need source evidence.
  • 3.Review agent-generated notes before promoting useful observations into the source document library.

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