Uploaded July 2026 | Updated September 2026, 3 hours ago

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Your RAG pipeline isn't failing because of bad prompts.

It's failing because of bad context.

In this video, Victoria breaks down the five systems that make up every agentic RAG pipeline that actually works in production.


1️⃣ Query Augmentation — translating messy human input into something your pipeline can actually use
2️⃣ Retrieval — chunking strategy alone can make or break your RAG performance
3️⃣ Memory — short-term vs long-term, and why just dumping history into context is a failure mode
4️⃣ Tools — most tool failures are context engineering failures in disguise
5️⃣ Agents — the orchestration layer that ties it all together (and compounds every failure when context breaks down)



Resources:
Ebook: weaviate.io/ebooks/the-context-engineering-guide?utm_source=youtube&utm_campaign=context-engineering
Chunking demo: https://chunking.playground.weaviate.io?utm_source=youtube&utm_campaign=context-engineering
Engram: weaviate.io/product/engram?utm_source=youtube&utm_campaign=context-engineering

00:00 - Intro
00:46 - Longer contexts are not better
01:18 - The context engineering system
01:36 - Query Augmentation
02:25 - Query Agents
03:25 - Retrieval & Chunking
05:42 - Memory
08:02 - Tools
10:08 - Agents
10:51 - Conclusion


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