# You need to deploy your own embedding model as well as your own chat completion model embed_model = AzureOpenAIEmbedding( model="YourAzureOpenAIEmbeddingModelName", deployment_name="YourAzureOpenAIEmbeddingDeploymentName", api_key=aoai_api_key, azure_endpoint=aoai_endpoint, api_version=aoai_a...
# For Azure OpenAIfrom llama_index.llms import AzureOpenAIfrom llama_index.embeddings import AzureOpenAIEmbeddingfrom llama_index import ( VectorStoreIndex, SimpleDirectoryReader, KnowledgeGraphIndex, ServiceContext,)from llama_index.storage.storage_context import StorageContextimport loggingimport...
我们很高兴与 LlamaIndex 合作,提供更简单的方法来优化预检索和检索以实施高级 RAG。运行高级 RAG 并不止于预检索和检索优化,我们才刚刚开始!请继续关注我们正在共同探索的未来方法。 例子 设置Azure OpenAI aoai_api_key = "YourAzureOpenAIAPIKey" aoai_endpoint = "YourAzureOpenAIEndpoint" aoai_api_version ...
配置Azure API 相关信息 # For Azure OpenAI from llama_index.llms import AzureOpenAI from llama_index.embeddings import AzureOpenAIEmbedding from llama_index import ( VectorStoreIndex, SimpleDirectoryReader, KnowledgeGraphIndex, ServiceContext, ) from llama_index.storage.storage_context import StorageContex...
提示 如果模型部署在 Azure OpenAI 服务或 Azure AI 服务资源托管,请按照 Azure OpenAI 模型和 Azure AI 模型推理服务所示配置客户端。如果终结点提供多个模型,例如,Azure AI 模型推理服务或GitHub 模型,则必须指示 model_name 参数:Python 复制 import os from llama_index.llms...
llamaindex azureopenai 用法 全文共四篇示例,供读者参考 第一篇示例: 1. 安装和配置 2. 导入数据 3. 创建索引 一旦数据导入完成,用户就可以创建索引了。用户可以选择不同的索引类型,比如全文索引、关键词索引等。用户还可以选择需要索引的字段和属性,以便更好地组织和检索文本信息。 4. 搜索和检索 5. 文本...
llamaindex azureopenai 用法 Azure OpenAI 服务与LLAMA索引的用法 Azure OpenAI 服务为开发者提供了强大的自然语言处理(NLP)功能,其中LLAMA模型是其中的一项关键服务。LLAMA模型是一个大型的语言模型,可以用于多种NLP任务,如文本生成、问答、文本分类等。 使用Azure OpenAI服务中的LLAMA模型,首先需要在Azure门户网站上...
Bug Description During the implementation of the llama index with Azure OpenAI for fine-tuning, the following error occurred: Retrying llama_index.llms.openai.base.OpenAI._chat in 0.6394267984578837 seconds as it raised NotFoundError: Er...
This project demonstrates how to build a simple LlamaIndex application using Azure OpenAI. The app is set up as a chat interface that can answer questions about your data. You can add arbitrary data sources to your chat, like local files, websites, or data retrieved...
llama-index 0.10.3 llama-index-agent-openai 0.1.1 llama-index-core 0.10.3 llama-index-embeddings-openai 0.1.1 llama-index-legacy 0.9.48 llama-index-llms-anyscale 0.1.1 llama-index-llms-langchain 0.1.1 llama-index-llms-openai 0.1.1 llama-index-multi-modal-llms-openai 0.1.1 llama-index...