Uploaded August 2025 | Updated September 2026, 1 week ago
Run large language models (LLMs) locally on your machine and use Azure Cosmos DB as a vector database for retrieval-augmented generation (RAG). This video shows how to use Ollama to run models like Llama 3, connect to Azure Cosmos DB emulator, and use LangChain for embedding, data loading, and RAG queries. A practical setup for developers building private, offline-capable AI workflows.
#llm #ai #azurecosmosdb
Links:
(GitHub) RAG application with LangChain and Local LLMs powered by Ollama - https://aka.ms/local-llms-rag-cosmosdb
Microsoft Developers AI Learning Hackathon: https://aka.ms/azurecosmosdbhackathon
Subscribe to Azure Cosmos DB on YouTube: youtube.com/AzureCosmosDB
Follow Azure Cosmos DB on X: twitter.com/AzureCosmosDB
Follow Azure Cosmos DB on LinkedIn: linkedin.com/company/azure-cosmos-db
Run large language models (LLMs) locally on your machine and use Azure Cosmos DB as a vector database for retrieval-augmented generation (RAG). This video shows how to use Ollama to run models like Llama 3, connect to Azure Cosmos DB emulator, and use LangChain for embedding, data loading, and RAG queries. A practical setup for developers building private, offline-capable AI workflows.
#llm #ai #azurecosmosdb
Links:
(GitHub) RAG application with LangChain and Local LLMs powered by Ollama - https://aka.ms/local-llms-rag-cosmosdb
Microsoft Developers AI Learning Hackathon: https://aka.ms/azurecosmosdbhackathon
Subscribe to Azure Cosmos DB on YouTube: youtube.com/AzureCosmosDB
Follow Azure Cosmos DB on X: twitter.com/AzureCosmosDB
Follow Azure Cosmos DB on LinkedIn: linkedin.com/company/azure-cosmos-db










