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Install weaviate-cli with Homebrew

Command-line interface for managing and interacting with Weaviate. Version 3.4.1 via Homebrew; verified 2026-06-27.

install

Additional install commands

macOS

Homebrewverified · 100%
brew install weaviate-cli

local Homebrew formula metadata

overview

Package summary

Command-line interface for managing and interacting with Weaviate

Commands and aliases

  • weaviate-cli

history

Project history and usage

Weaviate CLI is the command-line interface for managing and interacting with Weaviate vector databases from a terminal. It wraps database-administration and data workflows such as collection management, import, querying, multi-tenancy, backups, sharding, and role management.

The CLI belongs to the Weaviate ecosystem, where the underlying database is an open-source vector database for semantic search, hybrid search, retrieval-augmented generation, recommendations, chatbots, and related AI application patterns.

Project history

The PyPI release history shows that weaviate-cli began with early 0.0.x releases in May 2019. That places the CLI close to the early public period of Weaviate as an open-source vector search/database project.

The project appears to have gone through a quiet or unsupported period: in February 2024, a Weaviate community forum response said the weaviate-cli tool was not under development anymore. Later PyPI metadata shows a renewed 3.x release line, with 3.3.0 in January 2026, 3.4.0 in April 2026, and 3.4.1 in May 2026.

The current README describes a modern Python 3.10-plus CLI with commands for collections, data, tenants, backups, replication, shard status, query types, and role assignment. It also documents Homebrew installation and a JSON configuration file under ~/.config/weaviate/config.json.

Adoption history

The CLI's adoption is tied to Weaviate's shift from vector-search infrastructure into a mainstream AI application platform. Weaviate's own documentation describes the database, Weaviate Cloud, query agents, managed embeddings, and external model-provider integrations as parts of the product surface developers evaluate and operate.

For operators and developers, the CLI is a lightweight administrative companion to SDKs, cloud consoles, Docker/Kubernetes deployments, and application code. It gives repeatable terminal commands for tasks that otherwise require custom scripts or UI interaction.

How it is used

Common usage includes creating a collection, importing test or application data, running vector, keyword, or hybrid queries, changing tenant state, starting backups to S3, GCS, or filesystem backends, restoring backups, inspecting shards, and assigning or revoking roles.

Configuration is file-based by default. The README says the CLI looks for ~/.config/weaviate/config.json, can create default localhost settings, and can store remote host, gRPC host, API-key authentication, per-user authentication entries, and provider headers such as OpenAI, Cohere, or Jina keys.

Why package nerds care

weaviate-cli is significant as the shell entry point for a vector database ecosystem. It packages database-management operations into commands that can be used in demos, CI scripts, local development, and operational runbooks for AI search or RAG systems.

Its history also shows the churn around fast-moving AI infrastructure: an early CLI, a period where community support described it as inactive, and a later 3.x line matching the renewed need for command-line management of vector-database deployments.

Timeline

  • 2019-05-21: PyPI records weaviate-cli 0.0.3, the earliest listed release.
  • 2024-02-02: A Weaviate forum response says the older weaviate-cli tool is not under development anymore.
  • 2025-2026: PyPI shows renewed 3.x releases.
  • 2026-05-08: PyPI records weaviate-cli 3.4.1, the latest release observed during this enrichment run.

Related projects

  • Weaviate CLI is related to Weaviate Database, Weaviate Cloud, the Weaviate Python client, Docker and Kubernetes Weaviate deployments, vector search engines, RAG frameworks, and model-provider integrations such as OpenAI, Cohere, and Jina.

security posture

No protected-tool coverage found yet

No matching local secret-handling manifest was found for weaviate-cli. Nucleus package metadata is still published here so future coverage has a stable package URL.

Install behavior

  • No Homebrew bottle metadata was recorded.

Recommended review

Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.

local files

Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.

Configuration files

Config paths the tool may read or write during local use.

Unix
~/.config/weaviate/config.json

Credential files

Credential-bearing paths to review before unattended agent runs.

Unix
~/.config/weaviate/config.json

executables

Installed executables

CommandKindExposureNote
weaviate-cliexecutableindexed executableDiscovered from the local executable index.

freshness

Version and freshness

These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.

page generated2026-08-03
manager version3.4.1
manager updated2026-06-27
local dataunknown
upstreamnot available
latest detectednot detected
  • okNo freshness warnings were generated.

install metadata

Package metadata

Package keybrew:weaviate-cli
Version3.4.1
Package managerHomebrew
Homepagehttps://pypi.org/project/weaviate-cli/
Last updated2026-06-27T19:01:12Z
Pulseupdated
Bottlenot recorded
Servicenone declared

source trail

Generated from repository data

This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.

Used sources

  • Geiger risk classifier
  • cross-ecosystem install command graph
  • curated configuration and credential file locations
  • curated package history
  • pkg.so package database
  • pkgdb category and tag curation