https://github.com/jianyuan1991/ragdemohttps://gitee.com/jianyuan/ragdemo环境准备Ollama和模型Ollama本地部署下载qwen:7b:ollama run qwen:7bOllama部署和qwen模型下载可以参考Spring AI+Ollama本地环境搭建下载embedding模型:ollama pull mof
Here, we'll start with the basics, laying the groundwork for your journey into the realm of Retrieval-Augmented Generation. This level is designed to introduce you to the core concepts and techniques essential for working with RAG models. By the end of this section, you'll have a solid un...
Last commit message Last commit date Latest commit natoverse and AlonsoGuevara Pipeline registration (#1940) Jun 13, 2025 1df8972·Jun 13, 2025 History 388 Commits .github Fix API key reference for gh-pages (#1821) Mar 19, 2025 .semversioner ...
[2]transformers/examples/research_projects/rag at main · huggingface/transformers · GitHub:https://github.com/huggingface/transformers/tree/main/examples/research_projects/rag [3]facebook/rag-token-nq · Hugging Face:https://huggingface.co/facebook/rag-token-nq [4]RAG:https://huggingface.co/do...
GitHub - explodinggradients/ragas: Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines Ragas是一个专为评估检索增强生成(Retrieval Augmented Generation, RAG)而设计的框架。RAG是一种利用外部数据来扩充大型语言模型(LLM)上下文的LLM应用类别。评估RAG的性能和效果非常困难,且具挑战性,Ragas...
从github官网下载所有文件,然后进入FastGPT-main/files/dockerdocker compose -f docker-compose-pgvector.yml up #cp docker-compose-pgvector.yml docker-compose.yml #docker compose up并将/projects/app/data/config.json 移动到docker目录下2. 修改 docker-compose.yml 环境变量 PG和milvus无需修改,zilliz参考...
(aws cloudformation describe-stacks--stack-name"$stack_name"--query"Stacks[0].Outputs[?OutputKey=='bucketName'].OutputValue"--output text)wget https://rajpurkar.github.io/SQuAD-explorer/dataset/train-v2.0.json cat train-v2.0.json|jq'.data[].paragraphs[].qas[].question'>questions.csv aws...
git clone https://github.com/infiniflow/ragflow.gitcdragflow/ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly. Install uv, or skip this step if it is already installed: pipx install uv pre-commit
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比如 Phoenix(docs.arize.com/phoenix)、DeepEval(github.com/confident-ai)、LangSmith、OpenAI Evals(github.com/openai/evals)。这些评估工具的迭代发展也非常快,关于具体的功能与使用方式可以查阅相应的官方文档。 05.总结 对于RAG 应用的用户和开发者来说,评估 RAG 应用的性能在实践中至关重要。本文将从黑盒和...