Correct complete RAG -- built for Highway Workflow Engine

Ассистент с технологией RAG (Retrieval-Augmented Generation) для работы с литературными текстами. Система использует локальную языковую модель и векторную базу знаний для точных ответов на вопросы по литературным произведениям.

Retrieval Augmented Generation(RAG) is a technique that enhances the capabilities of LLMs by combining information retrieval with text generation. Instead of relying on pre-trained knowledge, RAG fetch relevant data from external sources and use it to generate more accurate responses..

A production-ready Retrieval-Augmented Generation (RAG) assistant designed for customer support, leveraging hybrid search, LLM-based generation, and policy enforcement for accurate, citation-based responses. Includes features for real-time data handling, PII masking, and SLA compliance in energy and telecom domains.

Retrieval Augmented Generation(RAG) is a technique that enhances the capabilities of LLMs by combining information retrieval with text generation. Instead of relying on pre-traned knowledge, RAG fetch relevant data from external sources and use it to generate more accurate responses.