RAG and Vector Databases
Professional skills preparation with worked examples, written practice and independent learning assessments.
Professional RAG and Vector Databases course covering: Retrieval-augmented generation fundamentals; Embeddings and similarity search; Chunking, parsing and document preparation; Vector databases: Pinecone, pgvector, Weaviate, Chroma; Hybrid search, reranking and query rewriting; Advanced RAG: agentic and graph RAG; Evaluating RAG: faithfulness and relevance; Capstone: production document Q&A system. Practical lessons, hands-on labs, exercises, quizzes and a final exam. Includes lessons, supplementary YouTube tutorials, practical exercises, quizzes and free/paid practice tests. Erudex is independent, not affiliated with the source institution or awarding body. Its 80% learning checks are not official grades or university credit. Content requires qualified subject review before use as a complete teaching programme.
Curriculum
One complete track with its own final exam and certificate.
Professional RAG and Vector Databases course covering: Retrieval-augmented generation fundamentals; Embeddings and similarity search; Chunking, parsing and document preparation; Vector databases: Pinecone, pgvector, Weaviate, Chroma; Hybrid search, reranking and query rewriting; Advanced RAG: agentic and graph RAG; Evaluating RAG: faithfulness and relevance; Capstone: production document Q&A system. Practical lessons, hands-on labs, exercises, quizzes and a final exam.
Retrieval-augmented generation fundamentals
- Lesson 1: RAG architecture and the evidence lifecycle Lab60 min
- Lesson 2: Evidence records, retrieval contracts, and access boundaries Lab60 min
- Lesson 3: Context assembly, grounded prompting, and citation validation Lab60 min
- Lesson 4: End-to-end baseline, failure analysis, and operational readiness Lab60 min