# PostgreSQL

### How it Works:

After initial setup, anyone can securely access and query Postgres DB using Zerve's sophisticated SQL blocks within the notebook interface.

Whether you prefer working purely in SQL or combining it with Python's extensive libraries, Zerve's versatile platform lets you create advanced analyses and data applications all in one place - no context switching or data migration needed.

This brings power of postgres into your data science environment. 

### How to Connect:

* Host URL
* Port
* Database Name
* Username
* Password

<figure><img src="/files/pKzC4evbdZxuPApo161p" 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/postgresql.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.