Azure Cosmos DB for NoSQL now offers vector indexing and search in preview. This feature is designed to handle high-dimensional vectors, enabling efficient and accurate vector search at any scale. You can now store vectors directly in the documents alongside your data. Each document in your ...
Feature request Feature request Azure Cosmos DB for MongoDB vCore enables users to efficiently store, index, and query high dimensional vector data stored directly in Azure Cosmos DB for MongoDB vCore. It contains similarity measures suc...
AzureCosmosDBNoSQLVectorStoreRecordCollection<TRecord> Constructors Properties Methods Explicit Interface Implementations AzureCosmosDBNoSQLVectorStoreRecordCollectionOptions<TRecord> IAzureCosmosDBNoSQLVectorStoreRecordCollectionFactory Microsoft.SemanticKernel.Connectors.AzureOpenAI Mi...
We start off with a review of key vector search and database concepts, then follow by d... Azure Cosmos DB for NoSQL Oct 4, 2024 0 2 Announcing Azure Cosmos DB Integration with LangChain.js! James Codella Announcing Azure Cosmos DB Vector Store Integration with LangChain.js! We'...
Currently, vector policies and vector indexes are immutable after creation. To make changes, please create a new collection. A few points to note: TheflatandquantizedFlatindex types apply Azure Cosmos DB's index to store and read each vector when performing a vector search. Vector searches with...
You can manage a virtually unlimited amount of data and provisioned throughput by using a single Azure Cosmos DB account. To manage your data and provisioned throughput, you create one or more databases within your account and then create one or more containers to store your data....
Join us for an engaging session as we delve into the versatile vector database capabilities of Azure Cosmos DB for MongoDB vCore. Discover the seamless...
Learn about the new capabilities of Azure Cosmos DB for MongoDB vCore and Semantic Kernel that enable you to use vector search and integrate your AI-based movie recommendation applications. Vector search enables you to efficiently store, index, and query high-dimensional vector data along with oper...
ComoseDBVectorSearch.cs : Vector Search using Azure Cosmos DB CosmosDBKernelBuild.cs : Kernel Build code (test) CosmosDBVectorStore.cs : Embedding Text and store it to Azure Cosmos DB LoadDocumentPage.cs : PDF splitter class. Split the text to unit of section. (C# version ofazure-search-...
Announcing Azure Cosmos DB Integration with LangChain.js! James Codella Announcing Azure Cosmos DB Vector Store Integration with LangChain.js! We're simplifying AI app development by integrating Azure Cosmos DB's cost-effective and scalable vector search directly with LangChain.js! This powerful com...