Remove Analytics Remove Database Remove System Architecture
article thumbnail

Data integration

Dataconomy

Data integration involves the systematic combination of data from multiple sources to create cohesive sets for operational and analytical purposes. Real-time integration methods Real-time integration methods enable immediate data updates: Change Data Capture (CDC): Monitors and implements updates from source systems to data warehouses.

article thumbnail

Unbundling the Graph in GraphRAG

O'Reilly Media

Store these chunks in a vector database, indexed by their embedding vectors. The various flavors of RAG borrow from recommender systems practices, such as the use of vector databases and embeddings. Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain. Split each document into chunks.

Database 131
professionals

Sign Up for our Newsletter

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

article thumbnail

Accelerate threat modeling with generative AI

Flipboard

How generative AI can help Generative AI has revolutionized threat modeling by automating traditionally complex analytical tasks that required human judgment, reasoning, and expertise. Drawing from extensive security databases like MITRE ATT&CK and OWASP , these models can quickly identify potential vulnerabilities across complex systems.

AI 92
article thumbnail

Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning Blog

Solution overview For our custom multimodal chat assistant, we start by creating a vector database of relevant text documents that will be used to answer user queries. This may be useful for later chat assistant analytics. Step 3 – The Lambda function stores the query image in Amazon S3 with a specified ID.

AWS 127
article thumbnail

Unlocking the Power of Generative AI with Real-Time Data and Advanced Features

ODSC - Open Data Science

This challenge limits the potential of self-service analytics and delays decision-making. Describing each database field in plain English helps the model understand the schema and make accurate joins or filter decisions. Many employees and even customers struggle with writing complex SQL queries.

SQL 52
article thumbnail

9 Careers You Could Go into With a Data Science Degree

Smart Data Collective

The typical duties and responsibilities of a data architect include ensuring data solutions are built for design analytics and performance across numerous platforms. The role could also involve finding ways to improve the functionality and performance of existing systems and providing access to database analysts and administrators.

article thumbnail

How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Flipboard

The Q4 Platform facilitates interactions across the capital markets through IR website products, virtual events solutions, engagement analytics, investor relations Customer Relationship Management (CRM), shareholder and market analysis, surveillance, and ESG tools. Use case overview Q4 Inc.,

SQL 166