> ## Documentation Index
> Fetch the complete documentation index at: https://giselle.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# What are Cookbooks

> Step-by-step recipes for building practical AI apps with Giselle, from content generation to RAG-powered Q&A systems.

Cookbooks are practical, step-by-step guides that show you how to build real-world AI apps with Giselle. Each recipe includes complete node configurations, prompts, and workflow diagrams you can follow to create your own apps.

## Available Recipes

| Recipe | What You'll Build | Key Features |
| - | - | - |
| [Blog Post & Social Media Generator](https://giselle.mintlify.site/en/cookbooks/blog-social-media-generator.md) | Content creation pipeline that generates blog posts and social media content from a topic | Sequential processing, multiple generators, content adaptation |
| [Web Research Assistant](https://giselle.mintlify.site/en/cookbooks/web-research-assistant.md) | Research tool that combines fixed reference pages with real-time web search | Webpage node, LLM Web Search, information synthesis |
| [Knowledge Base Q\&A](https://giselle.mintlify.site/en/cookbooks/knowledge-base-qa.md) | RAG system using Document and GitHub Vector Stores | RAG, Vector Stores, query optimization, multi-source search |

## What You'll Learn

Through these recipes, you'll learn how to:

* **Connect nodes** to build multi-step AI workflows
* **Use Vector Stores** for RAG (Retrieval-Augmented Generation)
* **Combine information sources** like web pages, documents, and code repositories
* **Optimize queries** to improve search results
* **Chain generators** for sequential content processing


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.