Remove 2013 Remove Data Science Remove Database
article thumbnail

Master Vector Embeddings with Weaviate – A Comprehensive Series for You!

Data Science Dojo

To get you started, Data Science Dojo and Weaviate have teamed up to bring you an exciting webinar series: Master Vector Embeddings with Weaviate. We have carefully curated the series to empower AI enthusiasts, data scientists, and industry professionals with a deep understanding of vector embeddings.

Database 195
article thumbnail

16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

These organizations are shaping the future of the AI and data science industries with their innovative products and services. Making Data Observable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery. Check them out below.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Is web3 data storage ushering in a new era of privacy?

Dataconomy

Despite the furore that erupted after Cambridge Analytica, the dirty data problem hasn’t gone away: major breaches are commonplace, with a report by Apple last year indicating that the total number of data breaches tripled between 2013 and 2022. In the past two years alone, 2.6

article thumbnail

Build a multi-interface AI assistant using Amazon Q and Slack with Amazon CloudFront clickable references from an Amazon S3 bucket

AWS Machine Learning Blog

Solution components In this section, we discuss two key components to the solution: the data sources and vector database. Data sources We use Spack documentation RST (ReStructured Text) files uploaded in an Amazon Simple Storage Service (Amazon S3) bucket. Their raw files can be served in a CloudFront distribution.

AWS 72
article thumbnail

How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps.

Database 158
article thumbnail

Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

How Does Big Data Architecture Fit with a Translation Company? Big data architecture lays out the technical specifics of processing and analyzing larger amounts of data than traditional database systems can handle. Further, big data itself incorporates working with growing amounts of data these days.

Big Data 141
article thumbnail

Use a generative AI foundation model for summarization and question answering using your own data

Flipboard

We create embeddings for each segment and store them in the open-source Chroma vector database via langchain’s interface. We save the database in an Amazon Elastic File System (Amazon EFS) file system for later use. In entered the Big Data space in 2013 and continues to explore that area. text.strip().replace('n',

AWS 94