Azure-Cognitive-Search-Azure-OpenAI-Accelerator VS miyagi

Compare Azure-Cognitive-Search-Azure-OpenAI-Accelerator vs miyagi and see what are their differences.

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 (by MSUSAzureAccelerators)
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Azure-Cognitive-Search-Azure-OpenAI-Accelerator miyagi
1 1
295 666
4.4% 6.0%
9.1 9.1
23 days ago 5 days ago
Jupyter Notebook 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

Azure-Cognitive-Search-Azure-OpenAI-Accelerator

Posts with mentions or reviews of Azure-Cognitive-Search-Azure-OpenAI-Accelerator. We have used some of these posts to build our list of alternatives and similar projects.

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 Azure-Cognitive-Search-Azure-OpenAI-Accelerator and miyagi you can also consider the following projects:

staplechain - Signed, In-band Annotations for Language Model Outputs

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

openai - OpenAI .NET sdk - Azure OpenAI, ChatGPT, Whisper, and DALL-E

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.

chameleon-llm - Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

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

langforge - A Toolkit for Creating and Deploying LangChain Apps

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.

openai-cookbook - Examples and guides for using the OpenAI API

spacy-llm - 🦙 Integrating LLMs into structured NLP pipelines