End-to-End RAG with Weaviate

Course overview

Overview of Retrieval‑Augmented Generation (RAG) implemented with Weaviate: fundamentals, building end‑to‑end RAG workflows and extending RAG to multimodal use cases combining text and images.

Introduces core RAG concepts in the Weaviate ecosystem and explains how retrieval and generation are combined to produce context-aware answers.

Describes end‑to‑end RAG workflows with Weaviate, detailing steps to manage vector search and fuse retrieved content into the generator.

Covers multimodal RAG: mixing text and image sources in retrieval pipelines to broaden context and improve answer relevance.