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retrieval-optimization

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neomatrix369 / rag-params-finder

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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 Jul 22, 2026
  • Python

wesleyscholl / vectro-plus

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⚡🧠 Vectro+ — High-Performance Embedding Engine in Rust 🦀💾 Compress, quantize, and accelerate vector search 🚀 Boost retrieval speed, cut memory, keep semantic precision 🎯🔥

rust performance-engineering machine-learning ai simd rust-lang high-performance-computing semantic-search similarity-search memory-optimization vector-database vector-embeddings neural-compression opensource-ai embedding-quantization ai-infrastructure ai-tooling retrieval-optimization mojo-alternative llm-acceleration
  • Updated Apr 15, 2026
  • Rust

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