retrieval-metrics

Here are 4 public repositories matching this topic...

mburaksayici / smallevals

smallevals — CPU-fast, GPU-blazing fast offline retrieval evaluation for RAG systems with tiny QA models.

qa chroma question-generation weaviate qa-generation milvus vector-database qdrant chromadb rag-evaluation tiny-llm retrieval-evaluation offline-evaluation retrieval-metrics

Updated Dec 4, 2025
Python

elvisyao007 / eval-sanity

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Sanity-check your RAG evaluation metrics before trusting them — detects threshold artifacts, k-truncation traps, and hit@k vs proportion-recall divergence

python evaluation on-prem japanese-nlp rag llm ragas retrieval-metrics

Updated Jun 14, 2026
Python

Conceptual path finding in high-dimensional embedding space via Grassmann manifold geometry. Replaces cosine similarity with tangent space distance — paths follow domain-coherent lanes instead of converging to vocabulary hubs. GPU-accelerated Julia compute worker

julia julia-language semantic-search manifold-learning amdgpu high-dimensional principal-angles tangent-space grassmann-manifold graph-topology gpu-compute embedding-similarity retrieval-metrics grassmann-distance conceptual-paths kernel-abstractions local-pca

Updated May 10, 2026
Julia

SvetLuna-Lab / RAG-retrieval-hitk-demo

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Small demo project for evaluating RAG retrieval quality using a simple BM25-style retriever and standard metrics (Hit@k, Recall@k, MRR).

python nlp information-retrieval evaluation recall bm25 demo-project mrr rag retrieval-augmented-generation retrieval-metrics hit-at-k

Updated Nov 12, 2025
Python

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