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rag-optimization

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neomatrix369 / rag-params-finder

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Star 10

RAG parameter sweep experimentation tool — systematically evaluate vector databases, embedding models, chunking strategies, and retrieval methods using any Vector database. Supports both Voyage AI (hosted) and local sentence-transformers models.

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 May 23, 2026
  • Python

umitkacar / llm-context-optimizer

Star 7

Biological code organization system with 1,029+ production-ready snippets - 95% token reduction for Claude/GPT with AI-powered discovery & offline packs

developer-tools code-snippets code-organization cost-reduction token-reduction prompt-optimization context-management ai-assisted-coding context-compression rag-optimization chain-of-draft token-optimization llm-efficiency claude-optimization context-engineering context-pruning repository-aware gpt-optimization infinite-retrieval llm-context-window
  • Updated Nov 10, 2025
  • Python

snowfoxHQ / vecRecall

Star 3

VecRecall 是一个改进版的 AI 长期记忆系统。它基于对原版 MemPalace 的深度分析重新构建，核心设计理念是将“信息检索”与“信息组织”彻底解耦。 通过纯向量检索路径和独立的 SQLite UI 层，VecRecall 在保持灵活组织的同时，将召回率（R@5）从原版的 84% 提升至 96.6%+，为 AI Agent 提供更精准、更高效的上下文记忆支持。

python-library local-storage developer-tools ai-agents high-recall privacy-first long-term-memory vector-search chromadb local-llm context-management rag-optimization mcp-server claude-code semantic-recall
  • Updated May 1, 2026
  • Python

annpetrosiann / YSU_DSB_thesis

Star 0

This repo contains the full pipeline for my Master's thesis at Yerevan State University (YSU), developed as part of the Data Science for Business master's program. The goal of this project is to build an end-to-end Retrieval-Augmented Generation (RAG) system using semantic search, LLMs, and fine-tuned embeddings on Armenian banks’ financial PDFs.

data-science chatbot rag llm-training finetuning-llms datapre-processing rag-optimization
  • Updated Apr 28, 2025
  • Python

Ariyan-Pro / RAG-Latency-Optimization

Star 0

CPU-optimized RAG pipeline reducing latency 2.7× (247ms → 92ms). Implements caching, filtering, quantization for production. Complete with FastAPI, Docker, benchmarks, investor materials. The engineering showcase that sells itself.

docker caching dockerfile sales-engineering sqlite showcase embeddings low-latency production-ready demonstration semantic-search faiss fastapi retrieval-augmented-generation cpu-only rag-optimization ai-ml-performance-tuning becnhmarking
  • Updated May 6, 2026
  • Python

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