Skip to main content

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

Project description

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 manually:

pipx install verra-one    # recommended
pip install verra-one     # if you don't have pipx

Then run verra — first run walks you through setup.

Update

pipx upgrade verra-one    # if installed with pipx
pip install -U verra-one  # if installed with pip

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
  • Deployverra deploy user@server sets up everything remotely via SSH

Commands

verra                       # chat
verra ingest ~/Documents    # add a folder
verra gmail you@gmail.com   # 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

verra_one-0.1.4.tar.gz (197.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

verra_one-0.1.4-py3-none-any.whl (153.9 kB view details)

Uploaded Python 3

File details

Details for the file verra_one-0.1.4.tar.gz.

File metadata

  • Download URL: verra_one-0.1.4.tar.gz
  • Upload date:
  • Size: 197.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for verra_one-0.1.4.tar.gz
Algorithm Hash digest
SHA256 8686b530fa26bf244a36d8bd14864fe7d0fb40828f1ce300c647eb1edb570f00
MD5 ac442e4b2e6303125d96b976b5a9ab94
BLAKE2b-256 8d146e8d2914da53810a2dd7d94dd9979446d12cd34d644bef536945b8350bfa

See more details on using hashes here.

File details

Details for the file verra_one-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: verra_one-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 153.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for verra_one-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 3b00250d40d8625eb207d380be4ce4f3616e881adb6b588e13dc248ce6f95f68
MD5 34f1278b44abb73e34a79f763e9fa637
BLAKE2b-256 c4e1b491f9841dfbb6f96d4438c9dbdca58c4f033fe62a6b47f939a9e0d90dc0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page