> For the complete documentation index, see [llms.txt](https://docs.zerve.ai/guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zerve.ai/guide/integrations/database-connections/weaviate.md).

# Weaviate

Weaviate connection provides native support to write and query vector database using GraphQL.

### How it works:

After initial setup in assets, anyone with access can securely query weaviate DB using Zerve's  Query blocks within the canvas interface.

Zerve's robust platform supports both pure SQL/GraphQL development and Python integration. Build RAG pipelines using GraphQL and python blocks - all within a single, unified environment. No need to switch tools or transfer data.

### How to Connect:

Get the following parameters from your weaviate account and add it to assets.

* Host URL
* API Key

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