jleonelion

jleonelion's Stars

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook7k704

• Azure-Samples/chat-with-your-data-solution-accelerator

  A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.

  Language:Python791399

• Azure/GPT-RAG

  Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

  Language:Bicep851168

• emooreatx/autogen_skills

  python skills for autogen

  Language:Python258

• pinecone-io/examples

  Jupyter Notebooks to help you get hands-on with Pinecone vector databases

  Language:Jupyter Notebook2.7k998

• Azure/caf-terraform-landingzones

  This solution, offered by the Open-Source community, will no longer receive contributions from Microsoft. Customers are encouraged to transition to Microsoft Azure Verified Modules for continued support and updates from Microsoft. Please note, this repository is scheduled for decommissioning and will be removed on July 1, 2025.

  Language:HCL763664