Octoplexity prepares documentation before runtime so assistants, chatbots, APIs, and MCP tools receive tighter context with citations, permissions, and source provenance intact.
The platform combines source intake, compilation, governance, and runtime delivery so teams do not have to stitch together separate tools for every AI surface.
Upload documents or crawl web documentation, then normalize each source into documents, versions, and source spans.
Compile claims, entities, summaries, relationships, and provenance before the user asks a question.
Return compact, cited, model-ready payloads instead of loosely ranked chunks stuffed into prompts.
Apply tenant, project, source, role, API key, and MCP client boundaries before context reaches a model.
Serve compiled context to internal assistants, agent tools, website chatbots, and customer applications.
Use a managed website bot surface when teams need customer-facing answers without building a custom chat UI.
Use corrections, missing-source reports, and accepted answers to refine source weighting and packet assembly.
Keep every generated artifact tied to source spans, document versions, and freshness signals.
SSO supports SAML 2.0 and OIDC. Audit events include member, source, key, billing, and permission changes.
Each packet is assembled for a request, permission scope, source version, and token budget. Downstream systems can answer with the right context instead of searching every source from scratch.
Bring documentation, support knowledge, sales context, and website answers into one compiled source of truth.
