SemanticValidation VS miyagi

Compare SemanticValidation vs miyagi and see what are their differences.

SemanticValidation

SemanticValidation is a library that integrates OpenAI’s powerful language models with validation systems. It allows you to perform semantic checks on your data and queries using natural language understanding. (by mehrandvd)
open-ai semantic-kernel Validation azure-openai C# .NET openai similarity
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miyagi

Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences. (by Azure-Samples)
azure-openai langchain prompt-chain prompt-engineering semantic-kernel Aks context-injection semantic-search gpt-4 in-context-learning openai Sample foundation-models intelligent-app llm
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agentmiyagi.com
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SemanticValidation miyagi
1 1
7 635
- 8.2%
7.9 9.1
4 months ago 11 days ago
C# Jupyter Notebook
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

SemanticValidation

Posts with mentions or reviews of SemanticValidation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-04.

miyagi

Posts with mentions or reviews of miyagi. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing SemanticValidation and miyagi you can also consider the following projects:

skunit - skUnit is a testing tool for SemanticKernel units, such as plugin functions and kernels.

ChainFury - 🦋 Production grade chaining engine behind TuneChat. Self host today!

Azure-Cognitive-Search-Azure-OpenAI-Accelerator - Virtual Assistant - GPT Smart Search Engine - Bot Framework + Azure OpenAI + Azure AI Search + Azure SQL + Bing API + Azure Document Intelligence + LangChain + CosmosDB

Get-Things-Done-with-Prompt-Engineering-and-LangChain - LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

GPT-Codemaster - Automatic programming by creating Pull Requests from Issues using LLMs

spacy-llm - 🦙 Integrating LLMs into structured NLP pipelines

llmflows - LLMFlows - Simple, Explicit and Transparent LLM Apps

OpenDialogMVVM - Open a dialog window using MVVM

SemanticValidation vs skunit miyagi vs ChainFury miyagi vs Azure-Cognitive-Search-Azure-OpenAI-Accelerator miyagi vs Get-Things-Done-with-Prompt-Engineering-and-LangChain miyagi vs GPT-Codemaster miyagi vs spacy-llm miyagi vs llmflows miyagi vs OpenDialogMVVM