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@@ -206,6 +206,7 @@ An awesome & curated list of the best LLMOps tools for developers.
 | [Humanloop](https://humanloop.com)                                 | The LLM evals platform for enterprises, providing tools to develop, evaluate, and observe AI systems. |                                                                                                |
 | [Hypersigil](https://github.com/hypersigilhq/hypersigil)           | Open-source prompt lifecycle management and gateway with a Web UI.                         | ![GitHub Badge](https://img.shields.io/github/stars/hypersigilhq/hypersigil.svg?style=flat-square)        | 
 | [Izlo](https://getizlo.com/)                                       | Prompt management tools for teams. Store, improve, test, and deploy your prompts in one unified workspace.                                                                                                                                                                                                                                                                                              |                                                                                                           |
+| [kb-arena](https://github.com/xmpuspus/kb-arena)                   | Open-source RAG evaluation arena that benchmarks 7 retrieval strategies (naive vector, contextual, QnA pairs, knowledge graph, RAPTOR, PageIndex, hybrid) on your own docs. ELO-based blind A/B Strategy Arena, RAGAS metrics, auto-generated question sets across 5 difficulty tiers, multi-provider support (Anthropic, OpenAI, Ollama), and per-strategy cost tracking.                              | ![GitHub Badge](https://img.shields.io/github/stars/xmpuspus/kb-arena.svg?style=flat-square)              |
 | [Keywords AI](https://keywordsai.co/)                              | A unified DevOps platform for AI software. Keywords AI makes it easy for developers to build LLM applications.                                                                                                                                                                                                                                                                                          |                                                                                                           |
 | [MLflow](https://github.com/mlflow/mlflow/tree/master)             | An open-source framework for the end-to-end machine learning lifecycle, helping developers track experiments, evaluate models/prompts, deploy models, and add observability with tracing. | ![GitHub Badge](https://img.shields.io/github/stars/mlflow/mlflow.svg?style=flat-square)  |
 | [Laminar](https://github.com/lmnr-ai/lmnr)                         | Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.                                                                                                                                                                                                                                                                                                           | ![GitHub Badge](https://img.shields.io/github/stars/lmnr-ai/lmnr.svg?style=flat-square)                   |