Generation technology has gradually
Posted: Wed Jan 08, 2025 3:48 am
Can also quickly check the highspeed rail timetable to help employees better arrange their itinerary. Through the diversified functions of Ava Smart Assistant , companies can significantly improve operational efficiency, reduce costs, improve employee job satisfaction, and ultimately stand out in the fierce market competition! Retrieval Enhanced Generation RAG Technology Revealed The Best Partner for Enterprise Knowledge Management Huang Shiwen 20241025 Retrieval Enhanced Generation RAG Technology Revealed The Best Partner for Enterprise Knowledge Management share collect With the rapid development of generative AI, enterprises are increasingly relying on efficient knowledge management to support daily business operations. In this context, RAG.
Retrieval Augmented become a key solution. RAG can combine the generation georgia telegram number capabilities of largescale language models LLM with realtime data retrieval, greatly improving the efficiency and accuracy of enterprise knowledge bases. This article will delve into the core principles of RAG and its importance as it applies to enterprises. What is RAG? Innovative technology combining generative AI and retrieval RAG is a technology that combines data retrieval with generative AI . It enhances the response accuracy of generative AI by searching external databases. Traditional LLM such as the GPT series mainly relies on the knowledge learned during.
Training when answering questions. However, as the amount of data and knowledge that companies need to process continues to grow, the limitations of this approach are becoming increasingly apparent. RAG enables AI to answer based on realtime information by retrieving the latest external data , and is no longer limited to past data. For businesses, this capability is especially important. Enterprise knowledge bases often need to be updated in real time, and internal information, rules and regulations, or technical specifications may change frequently, and relying solely on LLM to generate answers may result in outdated or incorrect information.
Retrieval Augmented become a key solution. RAG can combine the generation georgia telegram number capabilities of largescale language models LLM with realtime data retrieval, greatly improving the efficiency and accuracy of enterprise knowledge bases. This article will delve into the core principles of RAG and its importance as it applies to enterprises. What is RAG? Innovative technology combining generative AI and retrieval RAG is a technology that combines data retrieval with generative AI . It enhances the response accuracy of generative AI by searching external databases. Traditional LLM such as the GPT series mainly relies on the knowledge learned during.
Training when answering questions. However, as the amount of data and knowledge that companies need to process continues to grow, the limitations of this approach are becoming increasingly apparent. RAG enables AI to answer based on realtime information by retrieving the latest external data , and is no longer limited to past data. For businesses, this capability is especially important. Enterprise knowledge bases often need to be updated in real time, and internal information, rules and regulations, or technical specifications may change frequently, and relying solely on LLM to generate answers may result in outdated or incorrect information.