@karmaniverous/jeeves-watcher

Filesystem watcher that keeps a Qdrant vector store in sync with document changes. Extract text from files, chunk it, generate embeddings, and query your documents with semantic search.

Features

• Filesystem watching — monitors directories for file changes via chokidar
• Multi-format extraction — PDF, HTML, DOCX, Markdown, plain text, and more
• Configurable chunking — token-based text splitting with overlap control
• Embedding providers — Gemini, OpenAI, or mock (for testing)
• Qdrant sync — automatic upsert/delete keeps the vector store current
• Rules engine — glob-based inference rules for metadata enrichment
• REST API — Fastify server for search, status, config, and management
• CLI — jeeves-watcher init, validate, start, and more

Install

npm install @karmaniverous/jeeves-watcher
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Quick Start

# Generate a config file
npx jeeves-watcher init --output ./jeeves-watcher.config.json

# Validate it
npx jeeves-watcher validate --config ./jeeves-watcher.config.json

# Start the watcher
npx jeeves-watcher start --config ./jeeves-watcher.config.json
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Documentation

Full docs, guides, and API reference:

docs.karmanivero.us/jeeves-watcher

License

BSD-3-Clause