Semantic Kernel 是微软推出的大模型应用框架,支持 C#, Python 和 Java 等开发环境,通过 Semantic Kernel 集成的API接口,开发者可以直接调用 OpenAI 或是 Hugging Face 中的大语言模型,进一步构建上层应用任务,例如 Chat Copilot 或是 Code completion ,等。顾名思义,Sema
Semantic Kernel 是微软推出的大模型应用框架,支持C#,Python和Java等开发环境,通过 Semantic Kernel 集成的API接口,开发者可以直接调用 OpenAI或是 Hugging Face 中的大语言模型,进一步构建上层应用任务,例如 Chat Copilot 或是 Code completion ,等。顾名思义,Semantic Kernel 的核心就在于由 Kernel 所连接的 pipeline...
Semantic Kernel Embeddings and Memories: Explore GitHub Repos with Chat UI Evan Chaki UPDATE: This Sample has been deprecated. See the Chat Copilot example app on how to use embeddings and memories. Have you ever wanted to Ask questions to a GitHub repo? How many files are there, what la...
This is just one basic example of how embeddings and semantic searching can bring LLM capabilities into applications using the Planner. As the Semantic Kernel evolves in its Alpha stage, we’ll prioritize other methods of using embeddings for plan creation that will be even more powerful...
Chat Completion✅✅✅Example: GPT4, Chat-GPT Text Embeddings (Experimental)✅✅✅Example: Text-Embeddings-Ada-002 Text to Image (Experimental)✅✅❌Example: Dall-E Image to Text (Experimental)✅❌❌Example: Pix2Struct
不同于 Text completion service, Semantic Kernel 中集成的 Hugging Face Embedding service 是基于 sentence_transformers 库来实现的,并调用 encode 函数来进行 Embedding 文本向量化。 generator=sentence_transformers.SentenceTransformer(model_name_or_path=ai_model_id, device=resolved_device), embeddings = self....
using Microsoft.SemanticKernel.Data; using Microsoft.SemanticKernel.Embeddings; using Microsoft.SemanticKernel.PromptTemplates.Handlebars; 我们现在可以创建我们的数据模型并为其提供语义内核特定的属性来定义存储模型模式和一些文本搜索的提示: /// /// Data model for storing a "hotel" with a name, a descript...
fromsemantic_kernel.connectors.ai.azure_ai_inferenceimportAzureAIInferenceTextEmbedding embedding_generation_service = AzureAIInferenceTextEmbedding(ai_model_id="<deployment-name>") The following code shows how to get embeddings from the service: ...
An example that shows how to use Semantic Kernel and Kernel Memory to work with embeddings in a .NET application using SQL Server as Vector Database. - marcominerva/OpenAIEmbeddingSample
ChatGPT-like Application using RAG pattern that allows to ask question to my own documents - I Used Semantic Kernel to integrate a LLM (OpenAI) using C# to orchestrate AI pluggins (Azure Cognitive Services). For the document embeddings I used Qdrant for the vector database and Pdfpig to ext...