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pre-evaluation

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neomatrix369 / rag-params-finder

RAG parameter sweep and evaluation toolkit — a practical way to test how different vector databases, embedding models, chunking strategies, and retrieval methods perform across your own RAG setup. Built to help you move from guesswork to evidence, with support for any vector database.

evaluation embedding-models hyperparameter-tuning similarity-score rag vector-search pre-evaluation rag-optimization retrieval-optimization no-mcp zero-llm no-agents relevancy-score chunking-strategies

Updated Aug 27, 2026
Python

ahoendgen / ts-transformer-preval

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Code pre-evaluation inspired by https://github.com/kentcdodds/babel-plugin-preval

typescript transformer preval pre-evaluation

Updated Apr 1, 2019
TypeScript

neomatrix369 / pre-rag-explorer-dashboard

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A comprehensive Pre-RAG prototype dashboard for document parsing, multi-method chunking, vector embedding generation, and hybrid search exploration. Built with React and powered by in-browser ML models.

evaluation eval similarity-score rag pre-evaluation embeddings-model no-mcp zero-llm no-agents relevancy-score