Inspired by @ravithejads
, wrote a simple blog post on "RAG – Encoder and Reranker evaluation" using @llama_index on a custom QA dataset. Used open-source embeddings and re-rankers for the evaluation
"JinaAI-base" embedding with "bge-reranker-large" gave the best result among
RAG Encoder and Reranker Evaluation with Open-Source Models
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