pi-knowledge-search

Semantic search over local files for pi. Indexes directories of text/markdown files using vector embeddings, watches for changes in real-time, and exposes a knowledge_search tool the LLM can call.

Install

pi install git:github.com/samfoy/pi-knowledge-search

Or try without installing:

pi -e git:github.com/samfoy/pi-knowledge-search

Setup

Run the interactive setup command inside pi:

/knowledge-search-setup

This walks you through:

1. Directories to index (comma-separated paths)
2. File extensions to include (default: .md, .txt)
3. Directories to exclude (default: node_modules, .git, .obsidian, .trash)
4. Embedding provider — OpenAI, AWS Bedrock, or local Ollama

Config is saved to ~/.pi/knowledge-search.json. Run /reload to activate.

Config file

You can also edit the config file directly:

{
  "dirs": ["~/notes", "~/docs"],
  "fileExtensions": [".md", ".txt"],
  "excludeDirs": ["node_modules", ".git", ".obsidian", ".trash"],
  "provider": {
    "type": "openai",
    "model": "text-embedding-3-small"
  }
}

The API key for OpenAI can be set in the config file ("apiKey": "sk-...") or via the OPENAI_API_KEY environment variable.

Bedrock config

{
  "dirs": ["~/vault"],
  "provider": {
    "type": "bedrock",
    "profile": "my-aws-profile",
    "region": "us-west-2",
    "model": "amazon.titan-embed-text-v2:0"
  }
}

Requires the AWS SDK and valid credentials for the specified profile.

Ollama config (free, local)

{
  "dirs": ["~/notes"],
  "provider": {
    "type": "ollama",
    "url": "http://localhost:11434",
    "model": "nomic-embed-text"
  }
}

Requires Ollama running locally:

ollama serve
ollama pull nomic-embed-text

Environment variable overrides

Every config field can be overridden via environment variables. This is useful for CI or when you want different settings per shell session. See env-vars.md for the full list.

How it works

1. On session start, loads the index from disk and incrementally syncs — only re-embeds new or modified files
2. Starts a file watcher for real-time updates (debounced, 2s)
3. Registers a knowledge_search tool the LLM calls with natural language queries
4. Returns ranked results with file paths, relevance scores, and content excerpts

The index is stored at ~/.pi/knowledge-search/index.json.

Commands

Command	Description
/knowledge-search-setup	Interactive setup wizard
/knowledge-reindex	Force a full re-index

Performance

Typical numbers for ~500 markdown files (~20MB):

Operation	Time
Full index build	~7s
Incremental sync (no changes)	~12ms
File re-embed (watcher)	~200ms
Search query	~250ms
Index file size	~5MB

License

MIT