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Neopolis Akademy · Free AI training

End-to-End RAG with Weaviate

Build complete RAG workflows with Weaviate: vector ingestion and indexing, retrieval query formulation, fusion with generation and orchestration to create robust RAG pipelines.

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RAG de bout en bout avec Weaviate

Training programme overview

Build complete RAG workflows with Weaviate: vector ingestion and indexing, retrieval query formulation, fusion with generation and orchestration to create robust RAG pipelines.

The course details document ingestion, vector index creation and update options in Weaviate.

It explains retrieval strategies (k-NN, hybrid filters), building contextual prompts and combining retrieved items with a generative model.

Particular attention is given to answer consistency, source control and orchestration of pipeline steps.

1courses
3lessons
4activities
0exercises
4videos

Training · Intermediate

Courses included in this training programme

End-to-End RAG with Weaviate

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.

3 lessons · 4 activities · 0 exercises · 4 videos

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