Discussing these RAG framework

[akraradets]

Paper

1. Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation (https://doi.org/10.1007/978-3-032-04200-2_10)
2. MaximizingRAGefficiency:Acomparativeanalysisof RAGmethods (https://doi.org/10.1017/nlp.2024.53)

List of interesting RAG designs

Reciprocal RAG
This method is an evolution of Query Step-Down. It generates alternative questions and retrieves answers for them, but instead of aggregating everything, it employs a ranking mechanism (similar to Map Re-rank). It filters the generated responses and retains only the most relevant ones to form the final answer.

Originally posted by @khin-github1 in #60