An example that shows how to use Semantic Kernel and Kernel Memory to work with embeddings in a .NET application using SQL Server as Vector Database. - marcominerva/OpenAIEmbeddingSample
we hit a roadblock: we needed avector databaseto store our embeddings. Today, I'm excited to walk you through the process of setting up a vector
DingoDB is an open-source distributed multi-modal vector database independently designed and developed by DataCanvas, which integrates real-time strong consistency, relational semantics, and vector semantics into a unified platform, DingoDB positioning itself as a distinctive multi-modal database solution...
data-config.xml for SQL Server database <dataConfig><dataSourcetype="JdbcDataSource"driver="com.microsoft.sqlserver.jdbc.SQLServerDriver"url="jdbc:sqlserver://servername\instancename;databaseName=mydb"user="sa"password="mypass"/><document><entityname="product"pk="id"query="select id,name from ...
ANALYZE the database MySQL host Upload database alter/update the database as required: refer to section PRE-Migration for more details pgLoader configuration file A number of iterative passes are made using different pgloader configuration parameters in order to determine what changes are needed on ...
What is a vector database Vector database in Azure Cosmos DB for NoSQL Full text search in Azure Cosmos DB for NoSQL Hybrid search in Azure Cosmos DB for NoSQL Vector database in Azure Cosmos DB for MongoDB AI Integrations Related concepts ...
ll learn how to integrate Azure SQL with OpenAI to generate text embeddings, store them in the database, index them and calculate cosine distance to build a session recommender. And once that is done, you’ll publish it as a REST and GraphQL API to be consumed by a moder...
In this lesson, you examine and solve a data mining business problem by using the Oracle Data Miner graphical user interface (GUI). The Oracle Data Miner GUI is included as an extension of Oracle SQL Developer, version 3.0. Oracle SQL Developer is a free graphical tool for database ...
Summary: This article discusses facets of Microsoft SQL Server 7.0 textual searches such as: how SQL queries can be used on file systems lacking tables; how to use SQL extensions to make full-text queries; and how to work with a combination of file and database information. This article ...
controls are implemented well, encryption adds little additional security within the database itself. Any user who has privilege to access data within the database has no more nor any less privilege as a result of encryption. Therefore, encryption should never be used to solve access control ...