# Knowledge Bases

A **knowledge base** is a centralized repository of information, documents, or data that can be searched and referenced for AI agents to get additional context, ground their answers, and solve problems.

StackAI provides indexing and storage in the vector database so that users can leverage a powerful and flexible RAG (Retrieval-Augmented Generation) system without heavy investments in infrastructure. See pages in this section on how to create and use knowledeg bases.


---

# 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.stackai.com/workflow-builder/core-nodes/knowledge-bases.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.
