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Archex is a new open-source code RAG tool that improves retrieval by combining hybrid search (BM25F + dense embeddings), cross-encoder reranking, and dependency-graph expansion, achieving much higher recall and token efficiency than pure embeddings-based approaches.
ConvMemory v2 is a recall-preserving reranker that reorders the top-10 candidates from ConvMemory v1 using a fine-tuned cross-encoder, improving MRR on the LoCoMo benchmark while preserving recall.
A practical fix for RAG hallucination caused by noisy retrieval: use cross-encoder re-ranking to filter chunks with a score > 1.5, improving relevance from -0.28 to +3.80 on average.
Introducing the Ettin Reranker family: six new state-of-the-art CrossEncoder rerankers at various sizes, built on ModernBERT encoders, with open-source data and training recipe.