Compiled context for teams that depend on accurate answers

Compile documentation into cited, permission-aware context packets for internal assistants, support workflows, sales enablement, website chatbots, APIs, and MCP tools.

Docs uploaded or crawled

Files
PDF Product Guide.pdf
DOC Release Notes.docx
PPT Runbook.pptx
MD Security.md
Web
docs.example.com
help.example.com
Document Compiler
StructureHeadings, hierarchy, relationships
ClaimsFacts, statements, guarantees
EntitiesProducts, terms, people, systems
SummariesSection and document summaries
ProvenanceSources, timestamps, authorship
Compiled artifacts
Graph
Claims
Packets
Index
Sources
Context Packet
Cited context

The system supports SSO with SAML 2.0 and OIDC [1]. Audit logs are retained for 365 days [2].

[1] Security.md[2] Runbook.pptx
API / MCP output
{
  "context": {...},
  "citations": [1, 2]
}
Chatbot answer
SSO is supported via SAML 2.0 and OIDC. Audit logs are retained for 365 days.[1][2]

Runtime RAG searches chunks

  • Finds fragments and misses relationships
  • Hard to cite and verify
  • Inconsistent answers across sessions
  • Expensive as context grows
VS.

Octoplexity compiles knowledge first

  • Understands structure and relationships
  • Grounded, cited, and auditable
  • Consistent, accurate, and explainable
  • Efficient packets for every use
Permission-aware by designRespect roles and data boundaries
Governed retrievalApply source policy before context reaches the model
API-first runtimeDeliver context to any system or tool
Private source layerKeep raw documentation controlled and traceable

Designed as infrastructure, not a demo chatbot.

Hosted chat matters, but the durable primitive is the compiled context packet.

Source intake

Upload documents or crawl web documentation, then normalize each source into documents, versions, and source spans.

Document compiler

Compile claims, entities, summaries, relationships, and provenance before the user asks a question.

Context packets

Return compact, cited, model-ready payloads instead of loosely ranked chunks stuffed into prompts.

Permission filtering

Apply tenant, project, source, role, API key, and MCP client boundaries before context reaches a model.

Give your AI systems a better context layer.

Bring documentation, support knowledge, sales context, and website answers into one compiled source of truth.

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