Retrieval-Augmented Generation (RAG) is a transformative approach in artificial intelligence (AI) that enhances the performance of large language models (LLMs) by incorporating data from external, ...

Table-rag+ is a self-healing query generator designed to assist with querying large-scale tables using language models (LMs). It expands upon the ideas introduced in the TableRAG paper by ...

Naive RAG（Retrieval-Augmented Generation）是最基础的一种架构，用于结合检索和生成来处理复杂的任务，比如问答或内容生成。 负责从知识库（如文档集合或数据库）中找到与输入查询相关的上下文。 通常基于向量检索技术，使用嵌入模型（如 Sentence Transformers 或 ...