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This page is for technical users — developers, integrators, and admins — who want to interact with Clarifeye beyond what the standard knowledge-store UI exposes. The back office is built around the extraction flow — the pipeline that turns raw documents into searchable content. A flow chains the operations applied to each input (parsing, chunking, chunk tags, document tags, object extraction) and writes each step’s output to its own table. Every extractor output is versioned, so historical rows for a given extractor version remain queryable through the extractor-table-retrieval endpoint as the flow evolves. Once a flow runs in production, tools retrieve from those tables — search on chunks, search on objects, or templated Cypher queries for more advanced lookups. Agent settings then assemble those tools with the knowledge curated by domain experts (project brief, knowledge schema, tag hierarchies) into the agent that answers questions.
For new AI-client integrations, prefer MCP. The back office is the place to customize the pipeline or maintain integrations that predate MCP.