Towards AI

JANUARY 29, 2025

Retrieval Augmented Generation generally consists of Three major steps, I will explain them briefly down below – Information Retrieval The very first step involves retrieving relevant information from a knowledge base, database, or vector database, where we store the embeddings of the data from which we will retrieve information.

Database 79

Database Clustering Python SQL 79

Hacker News

DECEMBER 24, 2024

Kwai once deployed multiple MySQL clusters in the backend to support high traffic with large data storage and satisfactory performance. What pushed Kwai to select distributed databases and eventually deploy OceanBase Database? How does it efficiently process highly concurrent user requests?

Clustering 116

Clustering Database 116

Dataconomy

APRIL 27, 2023

What is an online transaction processing database (OLTP)? But the true power of OLTP databases lies beyond the mere execution of transactions, and delving into their inner workings is to unravel a complex tapestry of data management, high-performance computing, and real-time responsiveness.

Database 159

Database Data Scientist Data Mining Data Mining 159

AWS Machine Learning Blog

NOVEMBER 20, 2024

Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.

Database 111

Database AWS SQL ETL 111

Towards AI

APRIL 29, 2024

I’m writing a book on Retrieval Augmented Generation (RAG) for Wiley Publishing, and vector databases are an inescapable part of building a performant RAG system. I selected Qdrant as the vector database for my book and this series. Source: Author You’ll need to create your cluster and get your API key. qdrant-client==1.9.0

Database 105

Database Clustering Python AI 105

AWS Machine Learning Blog

DECEMBER 24, 2024

The process of setting up and configuring a distributed training environment can be complex, requiring expertise in server management, cluster configuration, networking and distributed computing. Scheduler : SLURM is used as the job scheduler for the cluster. You can also customize your distributed training.

AWS 106

AWS Clustering Deep Learning Deep Learning 106

Hacker News

OCTOBER 23, 2024

Access for Infrastructure, BastionZero’s integration into Cloudflare One, will enable organizations to apply Zero Trust controls to their servers, databases, Kubernetes clusters, and more. Today we’re announcing short-lived SSH access as the first available feature of this integration.

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Clustering Database 181

Towards AI

APRIL 22, 2024

Items in your shopping carts, comments on all your posts, and changing scores in a video game are examples of information stored somewhere in a database. Which begs the question what is a database? Types of Databases: There are many different types of databases. The tables store data in the form of rows and columns.

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Database SQL Clustering Big Data 108

AWS Machine Learning Blog

OCTOBER 24, 2024

For this post we’ll use a provisioned Amazon Redshift cluster. Set up the Amazon Redshift cluster We’ve created a CloudFormation template to set up the Amazon Redshift cluster. Implementation steps Load data to the Amazon Redshift cluster Connect to your Amazon Redshift cluster using Query Editor v2.

Data Warehouse 113

Data Warehouse Machine Learning Machine Learning Cloud Data 113

Data Science Dojo

MARCH 27, 2023

From vCenter, administrators can configure and control ESXi hosts, datacenters, clusters, traditional storage, software-defined storage, traditional networking, software-defined networking, and all other aspects of the vSphere architecture. VMware “clustering” is purely for virtualization purposes.

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Clustering Database SQL 195

Hacker News

SEPTEMBER 22, 2023

CloudNativePG is the Kubernetes operator that covers the full lifecycle of a highly available PostgreSQL database cluster with a primary/standby architecture, using native streaming replication.

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Clustering Database 152

Data Science Dojo

FEBRUARY 1, 2023

A heap table is a temporary table that only exists for a session and is useful when loading data to stage it before running more transformations. Clustered column store index When loading data to a clustered column store table, creating a clustered column store index is essential for query performance.

Azure 195

Azure SQL Analytics Analytics 195

AWS Machine Learning Blog

JANUARY 24, 2024

We demonstrate how to build an end-to-end RAG application using Cohere’s language models through Amazon Bedrock and a Weaviate vector database on AWS Marketplace. The user query is used to retrieve relevant additional context from the vector database. The retrieved context and the user query are used to augment a prompt template.

AWS 144

AWS Database AI AI 144

Hacker News

OCTOBER 28, 2024

This tallk introduces why and how KubeBlocks is created and how China Mobile Cloud run its cloud database without a dedicated operator. This is a joint talk delievered by ApeCloud and China Mobile Cloud on KubeCon China 2024.

Database 68

Database Clustering 68

Dataconomy

FEBRUARY 27, 2025

Hadoop is an open-source framework that supports distributed data processing across clusters of computers. This architecture allows efficient file access and management within a cluster environment. Open-source tools Apache Ambari: A platform for cluster management, making it easier to monitor and manage Hadoop clusters.

Hadoop 91

Hadoop Clustering Apache Hadoop Big Data 91

Towards AI

MARCH 3, 2025

In this post, well explore how different Azure disk types perform under distributed database workloads, using YugabyteDB as our distributed database. Understanding Distributed Database Workloads Before diving into performance numbers, its essential to understand what makes distributed database workloads unique.

Azure 89

Azure Database Clustering Data Engineering 89

Dataconomy

MARCH 4, 2025

Data mining is a fascinating field that blends statistical techniques, machine learning, and database systems to reveal insights hidden within vast amounts of data. Association rule mining Association rule mining identifies interesting relations between variables in large databases.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

Analytics Vidhya

MAY 16, 2022

Elasticsearch acts a lot like a database and a distributed system […]. Introduction on Amazon Elasticsearch Service Amazon Elasticsearch Service is a powerful tool that allows you to perform a number of functions. Let us examine how this powerful tool works behind the scenes.

Data Science 271

Data Science Database Analytics Analytics 271

Dataconomy

MARCH 3, 2025

These models use knowledge graphs databases of known biological interactionsto infer how a new gene disruption might affect a cell. Gene set enrichment : Identify clusters of genes that behave similarly under perturbations and describe their common function.

AI 91

AI AI Clustering Machine Learning 91

IBM Journey to AI blog

MARCH 27, 2024

Java is 1000 times faster than today’s database systems. While programming languages like Java offer microsecond processing speeds, external database servers that have been utilized for data processing over the past 40 years, are 1000 times slower with millisecond processing speeds.

Clustering 110

Clustering Database SQL AWS 110

Hacker News

SEPTEMBER 22, 2024

Here you have a number of nodes in a cluster of databases, or in a cluster of web caches. How do you figure out where the data for a particular key goes in that cluster? The simplicity of consistent hashing is pretty mind-blowing.

Clustering 103

Clustering Database 103

AWS Machine Learning Blog

NOVEMBER 13, 2024

It works by analyzing the visual content to find similar images in its database. Store embeddings : Ingest the generated embeddings into an OpenSearch Serverless vector index, which serves as the vector database for the solution. To do so, you can use a vector database. Retrieve images stored in S3 bucket response = s3.list_objects_v2(Bucket=BUCKET_NAME)

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AWS Database K-nearest Neighbors AI 115

Hacker News

MARCH 11, 2024

The Scalability Tale We need to choose a database: so, let’s start with that. In this fortunate case, I will be very happy to host the infrastructure on a K8 cluster with autoscaling, self-healing, a distributed database, a Redis server and so on. And I love it. What if someone decides to DoS your application?

Database 103

Database Clustering 103

Data Science Dojo

JUNE 19, 2023

Amidst the buzz surrounding big data technologies, one thing remains constant: the use of Relational Database Management Systems (RDBMS). Likewise, in big data, relational databases serve as the bedrock upon which the data infrastructure stands. Relational databases emerge as the solution, bringing order to the data deluge.

Big Data Analytics 195

Big Data Analytics Big Data Analytics Big Data Big Data 195

Data Science Dojo

JANUARY 31, 2024

It integrates retrieval-based and generation-based approaches to provide a robust database for LLMs. By combining vector databases and LLM, the retrieval model has set up a standard for the search and navigation of data for generative AI. Access to a large and accurate database ensures that factually correct results are generated.

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Database Natural Language Processing Deep Learning Deep Learning 243

Flipboard

NOVEMBER 17, 2023

The Retrieval-Augmented Generation (RAG) framework augments prompts with external data from multiple sources, such as document repositories, databases, or APIs, to make foundation models effective for domain-specific tasks. Its vector data store seamlessly integrates with operational data storage, eliminating the need for a separate database.

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K-nearest Neighbors AWS Clustering Database 169

Towards AI

FEBRUARY 19, 2025

Vector Databases 101: A Beginners Guide to Vector Search and Indexing Photo by Google DeepMind on Unsplash Introduction Alright, folks! The secret sauce behind all of this is vector search and vector databases, helping power similarity-based recommendations and retrieval! Traditional databases? They tap out.

Database 70

Database K-nearest Neighbors Machine Learning Machine Learning 70

Dataconomy

SEPTEMBER 22, 2023

Databases are the unsung heroes of AI Furthermore, data archiving improves the performance of applications and databases. By removing infrequently accessed data from primary storage systems, organizations can improve the performance of their applications and databases, which can lead to increased productivity and efficiency.

Clustering 185

Clustering Algorithm Data Classification Machine Learning 185

Hacker News

OCTOBER 27, 2024

Hash joins and sort-merge joins have been considered the algorithms of choice for analytical relational queries in most parallel database systems because of their performance robustness and ease of parallelization. In this paper, we revisit the potential of nested loop joins in a cluster environment.

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Clustering Database Algorithm Analytics 130

AWS Machine Learning Blog

JULY 17, 2023

In this post, we walk through step-by-step instructions to establish a cross-account connection to any Amazon Redshift node type (RA3, DC2, DS2) by connecting the Amazon Redshift cluster located in one AWS account to SageMaker Studio in another AWS account in the same Region using VPC peering.

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Clustering AWS ML ML 94

Towards AI

FEBRUARY 5, 2025

In RAG, you store these chunks in a vector database and encode them with a text embedding model. Set Up the Vector Database You can sign up for a free-tier KDB.AI Well generate late chunks and store them in the vector database. Splitting text naively can inadvertently break longer contextual relationships. Image By Author.

Database 91

Database Clustering AI AI 91

Flipboard

FEBRUARY 5, 2025

A current barrier to effective database queries lies in the often ambiguous, inconsistent, or completely missing classification of existing data, highlighting the need for standardized, automated, and verifiable classification methods. Instead, it identifies clusters in atomistic systems by automatically recognizing common unit cells.

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Clustering Machine Learning Machine Learning Algorithm 65

Flipboard

NOVEMBER 27, 2024

Gene set enrichment is a mainstay of functional genomics, but it relies on gene function databases that are incomplete. In gene clusters from omics data, GPT-4 identifies common functions for 45% of cases, fewer than functional enrichment but with higher specificity and gene coverage. Other LLMs (GPT-3.5,

Clustering 135

Clustering Database Machine Learning Machine Learning 135

Hacker News

SEPTEMBER 6, 2023

By analysing existing single-cell RNA-sequencing databases and our patch-seq data, we identified nine molecularly distinct clusters of hippocampal astrocytes, among which we found a notable subpopulation that selectively expressed synaptic-like glutamate-release machinery and localized to discrete hippocampal sites.

Clustering 182

Clustering Database 182

Data Science Dojo

MAY 1, 2023

It provides a wide range of tools for supervised and unsupervised learning, including linear regression, k-means clustering, and support vector machines. It is designed to simplify the process of working with databases by providing a consistent and high-level interface.

Python 216

Python Machine Learning Machine Learning Data Science 216

IBM Data Science in Practice

JANUARY 13, 2025

It is a cloud-native approach, and it suits a small team that does not want to host, maintain, and operate a Kubernetes cluster alonewith all the resulting responsibilities (and costs). The source data is unstructured JSON, while the target is a structured, relational database. Database size limits of 10GB.

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ETL Data Pipeline Database Data Warehouse 100

AWS Machine Learning Blog

MARCH 11, 2025

Vector database FloTorch selected Amazon OpenSearch Service as a vector database for its high-performance metrics. The implementation included a provisioned three-node sharded OpenSearch Service cluster. Amazon Bedrock APIs make it straightforward to use Amazon Titan Text Embeddings V2 for embedding data.

K-nearest Neighbors 103

K-nearest Neighbors AWS Database AI 103