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README.md

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-# Anatomy of Advanced Enterprise Rag Systems
+# Insurance Advisor Agent(s)
 
-This repository accompanies the blog series "The Anatomy of Advanced Enterprise Rag Systems" and provides a hands-on learning experience for building sophisticated Rag systems. Dive deep into each component, from setup and evaluation to security and multi-agent interactions.
-
-Explore these key topics:
-
-- Test Setup and Evaluation Metrics: Learn how to assess the performance and effectiveness of your Rag system.
-- Data Preparation and Management: Discover techniques for organizing and optimizing your knowledge base.
-- User Input Processing: Understand how to handle diverse user queries and extract relevant information.
-- Retrieval System: Unleash the power of retrieving relevant passages from your knowledge base.
-- Information Processing and Generation: Craft accurate and informative responses using state-of-the-art techniques.
-- Feedback and Continuous Improvement: Enhance your Rag system over time using user feedback and data analysis.
-- Multi-agents and Agent-services: Explore advanced architectures for distributed and collaborative Rag systems.
-- Monitoring and Security: Ensure the robustness and trustworthiness of your Rag system with proper monitoring and security practices.
-
-What you'll find here:
-
-- Code examples: Implementations of key concepts from each topic, ready to use and adapt.
-- Data samples: Pre-prepared data sets for experimentation and testing.
-- Additional resources: Links to relevant articles, libraries, and tools to deepen your understanding.
-
-Getting started:
-
-- Clone this repository: git clone https://github.com/<username>/advanced-enterprise-rag-systems.git
-- Follow the instructions in each topic directory.
-
-Contributing:
-
-We welcome your contributions! Share your expertise, improve existing code examples, or add new ones. Submit a pull request to share your valuable additions.
-
-License:
+Setup a modular, multi-agent system to handle inqueries to an insurance company. The system utilizes different approachs to find reliable answers regarding the insurance products
 
 This project is licensed under the MIT License: LICENSE.