AI & Agents Engineer
G · RAG and retrieval
15 questions
15 questions
Learning paths
- RAG and privacy · 8 steps
Questions
- G-P01What is RAG?BasicSTART 30
- G-P02What are embeddings?BasicSTART 30
- G-P03What is a vector database, and does RAG always need one?Basic
- G-P04Why do we split a document into chunks?Basic
- G-P05What is reranking?Basic
- G02How do you choose the size and boundaries of document chunks?Intermediate
- G03When should you combine keyword and semantic search?Intermediate
- G04How do you tell whether retrieval or answer generation is at fault?Advanced
- G09What should the answer be when sources conflict or evidence is missing?Advanced
- G10Can an instruction hidden in a document change an agent's behaviour?Advanced
- G01How do you build a simple but useful RAG?Advanced
- G05How do you make sure RAG over SharePoint doesn't reveal other people's documents?Advanced
- G06How do you handle a document changing or being deleted, and access being revoked?Advanced
- G07How do you change the embeddings model without breaking search?Advanced
- G08When is pgvector enough, and when is a separate service worth considering?Advanced