--- title: README emoji: 📈 colorFrom: pink colorTo: purple sdk: static pinned: false short_description: Automating LLM app optimization process thumbnail: >- https://cdn-uploads.huggingface.co/production/uploads/66265a2f670c42b8fd6b3fcb/NTBQic-SzcjL8p09cgPTI.png --- # Queryloop: Optimization Platform for RAG and LLM Applications **Website**: [https://www.queryloop.ai](https://www.queryloop.ai) ## Overview Queryloop is a platform designed to assist developers and teams in building, optimizing, and deploying Generative AI applications, particularly those utilizing Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). ## Key Features - **Automated Parameter Optimization**: Queryloop automatically tests various combinations of parsers, chunk sizes, embedding models, retrieval methods, query pre-processing methods, rerankers and top_k to identify the optimal configuration for specific use cases. - **Systematic Experimentation**: Users can compare multiple configurations simultaneously, with clear metrics for accuracy, cost, and latency, facilitating data-driven optimization decisions. - **One-Click Deployment**: After optimization, applications can be deployed with a single click, generating API keys for seamless integration with existing systems. - **Comprehensive Evaluation**: The platform provides side-by-side comparisons across multiple metrics to help identify the most effective configuration. - **Fine-Tuning Capabilities**: Queryloop allows for embedding optimization and LLM fine-tuning over user data to enhance retrieval accuracy and response quality. ## Benefits - **Efficiency**: By automating the optimization process, Queryloop eliminates the need for manual experiments, accelerating the development of production-grade LLM applications. - **Cost Reduction**: Optimized configurations lead to significant cost savings in application development and deployment. - **Improved Performance**: Applications optimized with Queryloop demonstrate improved accuracy and reduced hallucinations, enhancing overall performance. ## Use Cases - **Enterprise Chatbots**: Enhancing customer support systems with accurate, context-aware responses. - **Knowledge Base Search**: Improving search capabilities within organizational knowledge repositories. - **Custom AI Applications**: Tailoring AI solutions to specific industry needs, such as legal, medical, or financial sectors. ## Getting Started To explore Queryloop and start optimizing your AI applications, visit our official website: [https://www.queryloop.ai](https://www.queryloop.ai)