article thumbnail

Understanding REST API: A comprehensive guide

Data Science Dojo

In the illustration below, we are showing how different types of applications can access a database using REST API. Layered System: REST API should be designed in a layered system architecture, where each layer has a specific role and responsibility. Code on Demand : REST API supports the execution of code on demand.

article thumbnail

Best Used Servers for Databases and Cloud Computing

Smart Data Collective

Organizations that need servers for their databases or cloud computing can’t just go out and buy the first option that presents itself, though. Type of database. If you’re looking for a database server, you’ll need something built for the job. Here’s one of the most common server databases. MS SQL Server.

professionals

Sign Up for our Newsletter

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

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 116
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. Amazon OpenSearch Service is a powerful, highly flexible search engine that allows users to retrieve data based on a variety of lexical and semantic retrieval approaches.

AWS 126
article thumbnail

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

Flipboard

During the embeddings experiment, the dataset was converted into embeddings, stored in a vector database, and then matched with the embeddings of the question to extract context. The generated query is then run against the database to fetch the relevant context. Based on the initial tests, this method showed great results.

SQL 168
article thumbnail

Essential skills for blockchain development in 2025

Dataconomy

By spreading out data storage, blockchain reduces the vulnerability associated with centralized points of failure typical in traditional databases. In contrast to standard databases managed by a central authority, blockchain promotes direct peer-to-peer exchanges and renders middlemen unnecessary.

article thumbnail

9 Careers You Could Go into With a Data Science Degree

Smart Data Collective

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