miyagi VS llmflows

Compare miyagi vs llmflows and see what are their differences.

miyagi

Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences. (by Azure-Samples)
azure-openai langchain prompt-engineering semantic-kernel Aks gpt-4 openai azureai Azure Copilot llama-index llama2 typechat Agents promptflow phi-2 taskweaver assistants Guidance
Source Code
agentmiyagi.com
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llmflows

LLMFlows - Simple, Explicit and Transparent LLM Apps (by stoyan-stoyanov)
AI llm llm-inference llmops llms Machine Learning openai prompt-engineering question-answering vector-database chatgpt gpt-4 Python
Source Code
llmflows.readthedocs.io
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miyagi llmflows
1 1
645 624
9.6% -
9.1 8.6
20 days ago about 1 month ago
Jupyter Notebook Python
GNU General Public License v3.0 or later MIT License
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miyagi

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

llmflows

Posts with mentions or reviews of llmflows. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-29.

What are some alternatives?

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

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

llm-app - LLM App templates for RAG, knowledge mining, and stream analytics. Ready to run with Docker,⚡in sync with your data sources.

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

GPT-4-Prompt-Library - Advanced Code and Text Manipulation Prompts for Various LLMs. Suitable for GPT-4, Claude, Llama2, Falcon, Bard, and other high-performing open-source LLMs. [Moved to: https://github.com/abilzerian/LLM-Prompt-Library]

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.

AutoPR - Run AI-powered workflows over your codebase

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

gateway - A Blazing Fast AI Gateway. Route to 100+ LLMs with 1 fast & friendly API.

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.

llm-vscode-inference-server - An endpoint server for efficiently serving quantized open-source LLMs for code.

spacy-llm - 🦙 Integrating LLMs into structured NLP pipelines

generative-ai-for-beginners - 18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

miyagi vs ChainFury llmflows vs llm-app miyagi vs Azure-Cognitive-Search-Azure-OpenAI-Accelerator llmflows vs GPT-4-Prompt-Library miyagi vs Get-Things-Done-with-Prompt-Engineering-and-LangChain llmflows vs AutoPR miyagi vs GPT-Codemaster llmflows vs gateway miyagi vs SemanticValidation llmflows vs llm-vscode-inference-server miyagi vs spacy-llm llmflows vs generative-ai-for-beginners