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lora-fine-tuning

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Transform your documents into intelligent conversations. This open-source RAG chatbot combines semantic search with fine-tuned language models (LLaMA, Qwen2.5VL-3B) to deliver accurate, context-aware responses from your own knowledge base. Join our community!

  • Updated Aug 13, 2025
  • Python

The retrieval stack matters — but ragweld’s differentiator is the engineering surface area around it: benchmarking, evaluation, diagnosis, and operations. It’s built for senior engineers who need answers like: what changed, why did it change, and what should we try next — without guessing.

  • Updated Jun 6, 2026
  • Python

Proactive observability system for production LLMs. Automatically detects semantic, lexical, domain, and performance drift, recovers high-quality responses via agentic strategies, and safely adapts models using LoRA fine-tuning with automated governance.

  • Updated May 4, 2026
  • Jupyter Notebook

High-performance LPR system optimized for Indian license plates, achieving 97% character accuracy. Features a hybrid pipeline using YOLOv11 and Mamba-SSM (State Space Models) with built-in regex correction and Beam Search decoding.

  • Updated Dec 17, 2025
  • Jupyter Notebook

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