# Weaviate

### 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

<figure><img src="/files/hyCAotFwOkuZzRyJAl0b" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/LaxFDJf1TRbNUiXTVI58" alt=""><figcaption></figcaption></figure>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.zerve.ai/guide/integrations/database-connections/weaviate.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.