# Source: https://docs.giselles.ai/en/prompts/overview.md

# Source: https://docs.giselles.ai/en/models/providers/overview.md

# Source: https://docs.giselles.ai/en/guides/settings/account/overview.md

# Source: https://docs.giselles.ai/en/cookbooks/overview.md

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.giselles.ai/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](/en/cookbooks/blog-social-media-generator) | Content creation pipeline that generates blog posts and social media content from a topic | Sequential processing, multiple generators, content adaptation |
| [Web Research Assistant](/en/cookbooks/web-research-assistant)                  | Research tool that combines fixed reference pages with real-time web search               | Webpage node, LLM Web Search, information synthesis            |
| [Knowledge Base Q\&A](/en/cookbooks/knowledge-base-qa)                          | 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