课程
End-to-End RAG with Weaviate
中级技能水平
更新时间 2026年3月
PythonArtificial Intelligence2小时4 视频14 道练习1,200 XP成就证明
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企业版试用课程描述
先决条件
Working with the OpenAI API1
RAG Fundamentals with Weaviate
Discover how Weaviate enables RAG applications! You'll build a RAG workflow end-to-end by-hand to get familiar with the Retrieval-Augmentation-Generation steps. This understanding will enable robust and optimized RAG workflows in Chapter 2 using Weaviate.
2
End-to-End RAG with Weaviate
Although coding out RAG workflows by-hand is fun, you may be missing out on optimizations provided by tools like Weaviate. In this chapter, you'll embed, store, retrieve, and generate responses all using Weaviate!
3
Multi-Modal RAG
In the last chapter, you used the text content from the PDF documents to build your document chunks, but left the image content behind. This results in a lot of lost context that might be useful for retrieval and generation! In this chapter, you'll use ColPali multi-modal models to embed and generate text and images to provide more context for your model responses.
End-to-End RAG with Weaviate
课程完成 加入超过19百万学习者，今天就开始End-to-End RAG with Weaviate！
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