Installer weaviate-cli avec Homebrew

Liens du projet

• Page d'accueil

Commandes et alias

• weaviate-cli

Historique du projet

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.

Historique d'adoption

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.

Modes d'utilisation

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.

Pourquoi les passionnés de paquets s'y intéressent

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.

Chronologie

• 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.

Sources

• https://docs.weaviate.io/weaviate
• https://forum.weaviate.io/t/cant-set-up-weaviate-cli/1356
• https://github.com/weaviate/weaviate
• https://github.com/weaviate/weaviate-cli
• https://pypi.org/project/weaviate-cli/
• https://raw.githubusercontent.com/weaviate/weaviate-cli/main/README.md