KEIMENON

FEATURES

The capabilities and tools that power Keimenon's structured knowledge platform.

Code Extractor

Identify and extract code blocks from AI conversations with language detection, syntax validation, and full context preservation.

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Collection Pages

Themed publication surfaces that group related material into navigable, publishable collections with sequenced reading order and cross-references.

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Corpus Index

Browse and search your entire knowledge base from a single unified index with faceted filtering and contextual previews.

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Entity Extraction

Automated entity recognition — identifying people, concepts, terms, and relationships within documents.

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Entity Links

Automatic and manual linking between entities across documents, conversations, and extracted outputs — unified navigation through concepts.

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Evidence Panel

Side-by-side view showing extracted outputs alongside their original source context for immediate visual verification.

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Import Queue

Batch import of conversation exports and documents with format validation, metadata extraction, and duplicate detection.

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Message Splitter

Automatic separation of conversation messages by speaker role, topic shift, and thread boundary — turning monolithic conversations into navigable segments.

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Node Graph

Visual graph interface showing entities, concepts, and sources as connected, navigable nodes with typed relationships.

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Source Browser

Navigate individual sources with full surrounding context, linked entities, and related documents displayed alongside the primary text.

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Topic Clusters

Automatic grouping of related content by similarity and theme across your entire corpus — documents, conversations, and extractions clustered without manual tagging.

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