RAG_Techniques and openthairag
About RAG_Techniques
NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
This project helps developers and AI practitioners enhance the accuracy and contextual richness of their RAG (Retrieval-Augmented Generation) systems. It provides advanced techniques for improving how AI models retrieve information and generate responses. Users input their existing RAG system components and learn how to apply cutting-edge methods to get more relevant and comprehensive AI-generated outputs.
About openthairag
OpenThaiGPT/openthairag
OpenThaiRAG is an open-source Retrieval-Augmented Generation (RAG) framework designed specifically for Thai language processing. This project combines the power of vector databases, large language models, and information retrieval techniques to provide accurate and context-aware responses to user queries in Thai using OpenThaiGPT 1.5 as LLM.
OpenThaiRAG helps Thai-speaking professionals like customer support agents or researchers quickly find answers within large collections of Thai documents. You input your Thai documents and then ask questions in Thai. The system then provides accurate, context-aware answers by referencing the information you provided, making it easier to extract specific details or summarize content.
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