verra-one 0.1.3

Chat with your business data — emails, docs, spreadsheets.

Verra One

Chat with all your business data — emails, documents, spreadsheets. Runs locally with Ollama or connects to Claude/OpenAI.

Install

curl -fsSL https://raw.githubusercontent.com/ConnorBerghoffer/verra-one/main/install.sh | sh

Or with pip:

pip install verra-one

Then run verra — first run walks you through setup.

What it does

• Ingest folders, Gmail, Google Drive, Outlook — keeps syncing in the background
• Search across everything with hybrid retrieval (vector + metadata + keyword)
• Chat with your data — answers cite sources, refuses to guess
• Briefing — surfaces stale leads, overdue commitments, expiring contracts
• Actions — draft emails, set reminders, take notes through the chat
• Deploy — verra deploy user@server sets up everything remotely via SSH

Commands

verra                       # chat
verra ingest ~/Documents    # add a folder
verra gmail [e-mail]   # connect Gmail
verra search "pricing"      # search without LLM
verra briefing              # what needs attention
verra serve --port 8484     # HTTP API for building UIs
verra status                # what's ingested
verra delete --source email # remove data

Full list: verra --help

API

verra serve starts a FastAPI server with endpoints for chat, search, documents, entities, and briefing. OpenAPI docs at /docs.

Models

Works with any LLM via LiteLLM. Recommended local model: llama3.1:8b via Ollama.

PDF extraction

Uses pypdf (MIT) by default. For better quality on complex PDFs:

pip install "verra-one[pymupdf]"

License

MIT