Update README.md

README.md

@@ -5,6 +5,44 @@ colorFrom: pink
 colorTo: purple
 sdk: static
 pinned: false
+short_description: Automating LLM app optimization process
 ---
+# Queryloop: AI Optimization Platform for RAG and LLM Applications
 
-Edit this `README.md` markdown file to author your organization card.
+**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)