Introduction After exploring how vector databases work and trying the AWS OpenSearch vector database in this blog post, the goal of this article is to experiment with a similar product from Databricks – Mosaic AI Vector Search. We will create a new Vector Search endpoint and index, load the toy dataset, try to perform similarity […]
Introduction In this blog post we will introduce vector databases and some of the algorithms used for indexing and show examples of how to work with AWS OpenSearch vector database using python and LangChain library. Vector databases A vector database is a type of database that stores high-dimensional vectors for fast retrieval and similarity search. […]
This series of blog posts will illustrate how to use DBT with Azure Databricks: set up a connection profile, work with python models, and copy noSQL data into Databricks(from MongoDB). In the third part, we will talk about one specific example of how to load noSQL data into Databricks(originally coming from MongoDB). Task: We have […]
This series of blog posts will illustrate how to use DBT with Azure Databricks: set up a connection profile, work with python models, and copy noSQL data into Databricks(from MongoDB). In the second part, we will talk about working with python models. Starting from version 1.3 python support is added to DBT. As for now […]
This series of blog posts will illustrate how to use DBT with Azure Databricks: set up a connection profile, work with python models, and copy noSQL data into Databricks(from MongoDB). In the first part, we will talk about how to set up a profile when using dbt-databricks python package. Install python package dbt-databricks using pip […]