Organize Corpus

Structure large volumes of unstructured content — documents, notes, AI conversations, exports, and web clippings — into navigable, topic-clustered knowledge collections. Stop scrolling through files; start navigating knowledge.

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Core Capabilities

Import	Cluster	Navigate
Bring content from any source — documents, chats, notes, web pages — into one workspace.	Automatic topic grouping surfaces structure in unstructured material.	Browse by theme, source, date, or relationship — not just filename.

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The Problem

You'll recognise the symptoms:

• Notes in ten different tools — Obsidian for some things, Google Docs for others, Notion for the rest, AI chats exported somewhere. No unified view.
• Search is the only navigation — You can only find things you remember the keywords for. There's no structure to browse.
• Context is lost — A note references a conversation which references a document, but the connections only exist in your memory.
• New material doesn't integrate — Every new document, export, or conversation lives in isolation. It never joins the existing body of knowledge.

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How Keimenon Approaches This

1. Unified Import

All content enters through port — drag-and-drop files, paste text, or batch-import conversation exports. Keimenon normalises formats and extracts metadata automatically.

2. Automatic Clustering

Topic clusters emerge from the content itself — not from manual tagging or folder organisation. As new material enters, clusters update and connections strengthen.

3. Entity Extraction

People, concepts, terms, and relationships are identified and linked across sources. The same concept appearing in a document and a conversation gets connected.

4. Contextual Navigation

Browse your corpus through topic clusters, entity relationships, timeline views, or the knowledge graph. Every path offers a different lens on the same material.

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Products for Organizing Corpus

Corpus Workspace

Structure	Search	Context
Organise thousands of documents into navigable, topic-clustered workspaces.	Full-text and semantic search across every source.	Side-by-side panels preserving connections between sources.

Explore Corpus Workspace →

Conversation Parser

Ingest	Split	Reconstruct
Import exported AI conversations from ChatGPT, Claude, and others.	Separate messages by speaker, topic, and thread.	Rebuild conversations with full context and attribution.

Explore Conversation Parser →

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Related Solutions

• Extract Knowledge — Pull reusable outputs from organised corpus material
• Publish Collections — Curate and publish thematic collections
• Detect Similarity — Find connections across corpus content
• Trace Provenance — Verify claims against original sources

Related Use Cases

• For Researchers — Organise research corpora and detect structural patterns
• For Writers — Structure long-form writing projects
• For Students — Organise study material across courses
• For Developers — Organise technical notes, AI sessions, and documentation

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