”retrieval-augmented-generation“ 的搜索结果

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

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

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

#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

An NVIDIA AI Workbench example project for Retrieval Augmented Generation (RAG)

Examples and demos on how to use Retrieval Augmented Generation with Large Language Models

Create your own ChatGPT with Retrieval-Augmented-Generation workshop

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

#大语言模型#A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

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...

Forward-Looking Active REtrieval-augmented generation (FLARE)

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

Retrieval-Augmented Video Generation for Telling a Story

#大语言模型#Retrieval and Retrieval-augmented LLMs

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

Chatbot assistant enabling GitHub repository interaction using LLMs with Retrieval Augmented Generation

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

Paper collections of retrieval-based (augmented) language model.

a bert for retrieval and generation

Efficient Retrieval Augmentation and Generation Framework

#大语言模型#A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experienc...

#自然语言处理#本项目为CLIP模型的中文版本，使用大规模中文数据进行训练（~2亿图文对），旨在帮助用户快速实现中文领域的图文特征&相似度计算、跨模态检索、零样本图片分类等任务

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

Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

#大语言模型#AI Cloud: ⚡️Open-source AI LangChain-like RAG (Retrieval-Augmented Generation) knowledge database with web UI and Enterprise SSO⚡️, supports OpenAI, Azure, LLaMA, Google Gemini, HuggingFace, Claude, G...

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

翻译 - 用于分类，NER，QA，语言建模，语言生成，T5，多模式和会话式AI的变压器

#前端开发#quivr 是一个开源RAG框架，利用生成式AI技术构建你的 ”第二大脑“。使用 Langchain、GPT 3.5 / 4 turbo、Private、Anthropic、VertexAI、Ollama、LLMs、Groq 与您的文档 (PDF、CSV 等) 和应用程序聊天

PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT