python -c "from llama_index.llms.openai import OpenAI; print('OpenAI imported successfully')" 运行脚本 python llamaindex_RAG.py 彻底清理和重新安装 # 清理现有环境 pip uninstall llama-index llama-index-llms-openai # 重新创建一个新的 Conda 环境(可选) conda create -n new_llamaindex_env python...
RAG is a technique for augmenting LLM knowledge with additional, often private or real-time, data.Retrieval-augmented generation (RAG) is an AI framework for improving the quality of LLM-generated responses by grounding the model on external sources of knowledge to supplement the LLM’s internal ...
Networking Overview DPUs and SuperNICs Ethernet InfiniBand GPUs GeForce NVIDIA RTX / Quadro Data Center Embedded Systems Jetson DRIVE AGX Clara AGX Application Frameworks AI Inference - Triton Automotive - DRIVE Cloud-AI Video Streaming - Maxine Computational Lithography - cuLitho Cyber...
# We will use our local ollama with the LLaMA 3 model langchain_llm = ChatOllama(model="llama3") langchain_embeddings = DPRQuestionEncoderEmbeddings('facebook/dpr-question_encoder-single-nq-base') # Return the metrics results = evaluate(rag_dataset, metrics=metrics, llm=langchain_llm, embe...
# We will use our local ollama with the LLaMA 3 modellangchain_llm = ChatOllama(model="llama3")langchain_embeddings = DPRQuestionEncoderEmbeddings('facebook/dpr-question_encoder-single-nq-base') # Return the metricsresults = evaluate(rag_dataset, m...
LLMs之GraphRAG:《From Local to Global: A Graph RAG Approach to Query-Focused Summarization》翻译与解读 导读:该论文提出了一种基于图结构的知识图谱增强生成(Graph RAG)方法,用于回答用户针对整个文本集合的全局性质询问,以支持人们对大量数据进行全面理解。
fromllama_index import ServiceContext, VectorStoreIndex, StorageContextfromllama_index.node_parser import SentenceWindowNodeParserdefbuild_sentence_window_index(document,llm, vector_store, embed_model=”local:BAAI/bge-small-en-v1.5”): # create the sentence window node parser w/ default settingsnode...
Local Model Support:Leverage local models for LLM and embeddings, including compatibility with Ollama and OpenAI-compatible APIs. Cost-Effective:Eliminate dependency on costly cloud-based models by using your own local models. Interactive UI:User-friendly interface for managing data, running queries, ...
RAG with LlamaIndex - Nvidia CUDA + WSL (Windows Subsystem for Linux) + Word documents + Local LLM Now using LlamaIndex Core These notebooks demonstrate the use of LlamaIndex for Retrieval Augmented Generation using Windows WSL and Nvidia's CUDA. ...
Ollama:在我们的本地机器上下载并提供定制化的开源 LLM。 步骤1:安装 Python 3 并设置环境 要安装和设置我们的 Python 3 环境,请按照以下步骤操作:在您的机器上下载并设置 Python 3。然后确保您的 Python 3 安装并成功运行: $ python3 --version# Python 3.11.7 ...