Below you will find pages that utilize the taxonomy term “LLM”
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Hybrid GraphRAG: Revolutionizing AI Responses with Knowledge Graphs and Retrieval-Augmented Generation
In the rapidly evolving fields of artificial intelligence and natural language processing, Retrieval-Augmented Generation (RAG) has emerged as a powerful paradigm. By combining the strengths of retrieval-based and generative models, RAG systems can leverage vast information repositories to generate highly relevant and contextually rich responses. However, as the complexity and volume of data grow, the need for more advanced techniques becomes clear. This is where knowledge graphs play a pivotal role.
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AIAvengers: Harnessing Multi-Agent Networks for Intelligent Automation in Review Responses and Data Analysis
AI Avengers is an innovative project that uses multi-agent networks to automate two main tasks. It improves response generation by using Crew AI to quickly and effectively reply to customer reviews, making interactions more personal and efficient. It also boosts data analysis by turning user questions into clear, visual insights with LangGraph, helping businesses understand their data better and make smarter decisions.
Response Generation: Streamlining customer review responses with Crew AI.