/reindex

description: Rebuild the Repowise vector store by re-embedding all wiki pages. No LLM calls — only embedding API calls.
allowed-tools: Bash, Read, AskFollowupQuestion

Repowise Reindex

Rebuild the vector store (embeddings) without regenerating documentation.

This is useful when:

• You switched embedding providers
• The LanceDB vector data got corrupted
• You want to refresh search quality after adding new wiki pages

Steps

1. Check if `.repowise/` exists. If not: "This repo isn't indexed yet. Run `/repowise:init` first."

2. Run: `repowise reindex`

This re-embeds all existing wiki pages into LanceDB. No LLM generation calls — only embedding API calls. Fast and cheap.

Available flags

• `--embedder gemini|openai|auto` — embedding provider (default: auto-detect from env vars)
• `--batch-size N` — pages per embedding batch (default: 20)

Requirements

Requires either `GEMINI_API_KEY`/`GOOGLE_API_KEY` or `OPENAI_API_KEY` to be set. The mock embedder is not accepted for reindexing. If neither key is available, ask the user to set one before proceeding.

Handling $ARGUMENTS

If $ARGUMENTS contains "full" or "from-scratch", confirm with the user: "This will regenerate ALL documentation from scratch, not just re-embed. It will take as long as the initial indexing and cost API tokens. Are you sure?" If yes: `repowise init --force`