II.
Topic overview
Reference · livetopic:rag-pipeline-design
RAG Pipeline Design overview
RAG Pipeline Design as a cross-cutting topic — retrieval-augmented generation pipeline patterns for grounding LLM responses in organizational knowledge. Covers document ingestion, chunking strategies, embedding model selection, vector store configuration, retrieval ranking, re-ranking, context window assembly, and evaluation of retrieval quality (MRR, nDCG, recall@k). Spans both prototyping patterns and production-grade pipelines.
Attributes
displayName
RAG Pipeline Design
description
RAG Pipeline Design as a cross-cutting topic — retrieval-augmented
generation pipeline patterns for grounding LLM responses in organizational
knowledge. Covers document ingestion, chunking strategies, embedding model
selection, vector store configuration, retrieval ranking, re-ranking,
context window assembly, and evaluation of retrieval quality (MRR, nDCG,
recall@k). Spans both prototyping patterns and production-grade pipelines.
Outgoing edges
applies_to2
- domain:software-engineering·DomainSoftware Engineering
- specialization:ai-agents-conversational·Specialization
related_topics6
- topic:chunking-strategies·TopicChunking Strategies
- topic:embedding-pipeline·TopicEmbedding Pipeline
- topic:dense-retrieval·TopicDense Retrieval
- topic:hybrid-retrieval·TopicHybrid Retrieval
- topic:re-ranking·TopicRe-Ranking
- topic:agentic-rag·TopicAgentic RAG
Incoming edges
contains1
- domain:software-engineering·DomainSoftware Engineering