Building Agentic Workflows with Inngest
Blog post from Weaviate
AI workflows are essential to AI applications, with static workflows like RAG pipelines being prominent until the emergence of agentic workflows in 2024, which add dynamic steps to overcome static limitations such as hallucinations and inflexibility. As the focus shifts towards AI Agents in 2025, developing robust and adaptable AI workflows becomes crucial, leading to partnerships with tools like Inngest, a workflow engine, and Weaviate, which together facilitate building an agentic RAG pipeline to generate personalized dinner menus. The workflow utilizes datasets from Huggingface to accommodate preferences and allergies, employing dynamic steps to handle ingredient alternatives and wine pairings using OpenAI's GPT-4 model. The integration of Weaviate's vectorizer and Inngest's API enables efficient data handling and AI workflow creation, demonstrating the potential for crafting more autonomous workflows such as AI Agents, hinted as the next focus for further development.