Feature 1
RAG-powered semantic search
RAG-powered assistant that searches all internal docs. Employees ask questions in natural language and get accurate, cited answers—instantly.
Internal knowledge lives everywhere—Confluence, Notion, Drive, Slack—and nobody can find it. An AI knowledge base assistant gives teams one conversational interface: ask in natural language, get cited answers from all your docs. SpeedMVPs builds RAG-powered assistants that respect access control and log usage for compliance.
Internal knowledge is scattered across wikis, docs, Slack. Employees waste hours searching for answers.
RAG assistant that indexes Confluence, Notion, Google Drive. Chat or Slack interface with access control and cited sources.
Faster
New hires find answers quickly
Reduced
Fewer repeat questions
Better
Go-to resource 24/7
90%+ reduction
Answers in seconds, not hours of searching
RAG-powered semantic search
Chat and Slack integration
Access control and audit
Semantic search across Confluence, Notion, Drive, SharePoint
Cited answers with source links
Chat and Slack interfaces
Connect 2-3 core knowledge sources, build embedding pipeline, define access rules
Build chat interface, citation logic, Slack/Teams integration
Deploy, add more sources, tune from usage
Traditional
$100K+ enterprise search
MVP
$20K-30K custom build
Savings
Tailored to your content and access model
Expand to automated content updates, gap detection, expert matching, and knowledge graph.
“Like an institutional memory that never forgets, the KB assistant recalls every doc, policy, and process—instantly.”
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