”rag“ 的搜索结果

#自然语言处理#RAGFlow 是一款基于深度文档理解构建的开源 RAG（Retrieval-Augmented Generation）引擎

Multi-functional WhatsApp bot project

一个基于 Yii2 高级框架的快速开发应用引擎

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

#大语言模型#Supercharge Your LLM Application Evaluations 🚀

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and context...

#大语言模型#Build ChatGPT over your data, all with natural language

RAG (Retrieval-Augmented Generation) Chatbot Examples Using PyMuPDF

SuperEasy 100% Local RAG with Ollama + Email RAG

#大语言模型#A modular graph-based Retrieval-Augmented Generation (RAG) system

#大语言模型#AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

RAG orchestration framework ⛵️

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

#大语言模型#Open-source tool to visualise your RAG 🔮

#大语言模型#Ship RAG based LLM web apps in seconds.

Domain Adapted Language Modeling Toolkit - E2E RAG

#计算机科学#A comprehensive guide to building RAG-based LLM applications for production.

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

A multi-purpose LLM framework for RAG and data creation.

#大语言模型#Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

Roll-your-own rag! A feed reader with no ads or paywalls.

Containerized, state of the art Retrieval-Augmented Generation (RAG) system with a RESTful API

RAG for Local LLM, chat with PDF/doc/txt files, ChatPDF. 纯原生实现RAG功能，基于本地LLM、embedding模型、reranker模型实现，无须安装任何第三方agent库。

Netease Youdao's open-source embedding and reranker models for RAG products.

A RAG LLM co-pilot for browsing the web, powered by local LLMs

RAG (Retrievel Augmented Generation) implementation using the Mistral-7B-Instruct-v0.1

#大语言模型#🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

A working example of RAG using LLama 2 70b and Llama Index