Available Recipes
| Recipe | What You’ll Build | Key Features |
|---|---|---|
| Blog Post & 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 | Research tool that combines fixed reference pages with real-time web search | Webpage node, LLM Web Search, information synthesis |
| Knowledge Base Q&A | 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