retrieval-optimization

Here are 3 public repositories matching this topic...

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 Nov 5, 2026
Python

wesleyscholl / vectro-plus

Star

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

Updated Apr 15, 2026
Rust

Mullassery / PyVectorHound

Star

Diagnostic engine for RAG retrieval failures. Component-level analysis, root cause detection, optimization recommendations. Fix what's broken, not just metrics.

python debugging retrieval semantic-search observability rag vector-search llm vector-search-embeddings retrieval-optimization vector-search-optimization embedding-retrieval rag-debugging vector-search-and-indexing embedding-quality

Updated Oct 27, 2026
Python

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