Company Knowledge

Summary

The Company Knowledge Agent answers questions over your internal documents — issues, wiki pages, notes. It indexes them into a vector store, searches the corpus first, and redacts personal data (emails, phone numbers, SSNs, card numbers, API keys) from responses. Reach for it to build an internal "ask the company" assistant.

Install

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$ pnpm dlx shadcn@latest add https://agentcn.vercel.app/r/flue/company-knowledge.json
Copy

Composition

Copyagents/
└── company-knowledge.ts     # Corpus-first, PII-safe agent
workflows/
└── index-knowledge.ts       # Scheduled re-index workflow
tools/
├── search-knowledge.ts      # Search the corpus (redacted)
└── index-document.ts        # Add a document to the corpus
lib/
├── vector-store.ts          # libSQL vector store + embeddings
└── pii.ts                   # PII redaction helper

Customization

• Connect sources. Feed index-knowledge from Linear, Notion, or your wiki on a cron for fresh data.
• Swap the vector store. Replace lib/vector-store.ts with pgvector/Neon, Pinecone, or Qdrant.
• Tune redaction. Edit the patterns in lib/pii.ts for your data.
• Swap the model. Change the model field on the agent.