For example, chatbots and other conversational systems might use RAG to make sure their answers to customers’ questions are based on current information about inventory, the buyer’s preferences, and previous purchases, and to exclude information that is out-of-date or irrelevant to the LLM’s...
What Is RAG? Retrieval Augmented Generation (RAG) is a technique that enhances LLMs by integrating them with external data sources. By combining the generative capabilities of models like GPT-4 with precise information retrieval mechanisms, RAG enables AI systems to produce more accurate and contextu...
Retrieval-Augmented Generation (RAG) is a new way to build language models. RAG integrates information retrieval directly into the generation process.
Retrieval-augmented generation (RAG) is an AI framework that retrieves data from external sources of knowledge to improve the quality of responses. This natural language processing (NLP) technique is commonly used to make large language models (LLMs) more accurate and up to date. LLMs are AI ...
一、前言在 RAG(Retrieval-Augmented Generation,检索增强生成) 任务中,如何合理划分文档 是影响检索和生成质量的关键问题。分块粒度的选择需要在信息完整性和检索精度之间取得平衡:粒度过大 可能引入大量无…
LLM temperature is a parameter that influences the language model’s output, determining whether the output is more creative or predictable.
That is where LlamaIndex provides the toolbox to unlock this data with tools for data ingestion and data indexing. Once ingested and indexed,retrieval augmented generation (RAG) applicationscan use the LlamaIndex query interface for accessing that data and powering LLMs. ...
You may also want to combine LLM fine-tuning with a RAG system, since fine-tuning helps save prompt tokens, opening up room for adding input context with RAG. Where to fine-tune LLMs in 2025? There are a few different options for where you can fine-tune an LLM in 2025, ranging from...
What is a Kubernetes deployment? How do I deploy to Kubernetes using DevOps practices? What is Kubernetes vs. Docker? Resources Follow step-by-step AKS tutorials: Create container images from an application Upload container images to the Azure Container Registry ...
So, What Is Retrieval-Augmented Generation (RAG)? Retrieval-augmented generationis a technique for enhancing the accuracy and reliability of generative AI models with information fetched from specific and relevant data sources. In other words, it fills a gap in how LLMs work. Under the hood, LL...