Ads
related to: databricks vector search pricing tool extension- Databricks Mosaic AI
Build and Deploy Production-Quality
ML and Generative AI Applications.
- Databricks Platform
Built on Lakehouse for Data Teams.
Powered by Data Intelligence Engine
- State of Data + AI
Get the Report to Discover the
Latest Data and AI Adoption Trends.
- The Compact Guide to LLMs
Tap the Full Potential of LLMs.
Download the Free eBook Now.
- Free GenAI Course
Learn GenAI Basics in 90 Mins, Then
Earn Your Completion Certificate.
- Big Book of Generative AI
See GenAI Simplified. Get Started
With the Free Databricks eBook Now.
- Databricks Mosaic AI
hiive.com has been visited by 10K+ users in the past month
Search results
Results From The WOW.Com Content Network
Databricks, Inc. is a global data, analytics, and artificial intelligence (AI) company, founded in 2013 by the original creators of Apache Spark. [1] [4] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models.
A vector database, vector store or vector search engine is a database that can store vectors (fixed-length lists of numbers) along with other data items. Vector databases typically implement one or more Approximate Nearest Neighbor algorithms, [1] [2] [3] so that one can search the database with a query vector to retrieve the closest matching database records.
Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...
Databricks’ $43 billion valuation is up from the last time the company sought capital. In 2021, Databricks collected $1.6 billion in a series H round led by Counterpoint Global. It was valued at ...
Snowflake Inc. was founded in July 2012 in San Mateo, California, by Benoît Dageville, Thierry Cruanes and Marcin Żukowski.Dageville and Cruanes previously worked as data architects at Oracle Corporation; Żukowski was a co-founder of Vectorwise.
In October 2024, Perplexity AI introduced new finance-related features, including looking up stock prices and company earnings data. The tool provides real-time stock quotes and price tracking, industry peer comparisons and basic financial analysis tools. The platform sources its financial data from Financial Modeling Prep (FMP) to ensure accuracy.
Ad
related to: databricks vector search pricing tool extension