Database Document System Architecture 
Data Science Dojo
MARCH 30, 2023
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.
AWS Machine Learning Blog
OCTOBER 14, 2024
For many of these use cases, businesses are building Retrieval Augmented Generation (RAG) style chat-based assistants, where a powerful LLM can reference company-specific documents to answer questions relevant to a particular business or use case. Generate a grounded response to the original question based on the retrieved documents.
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O'Reilly Media
NOVEMBER 19, 2024
Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain. Split each document into chunks. 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.
AWS Machine Learning Blog
MARCH 10, 2025
The traditional approach of manually sifting through countless research documents, industry reports, and financial statements is not only time-consuming but can also lead to missed opportunities and incomplete analysis. This event-driven architecture provides immediate processing of new documents.
Dataconomy
MARCH 3, 2025
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.
AWS Machine Learning Blog
FEBRUARY 13, 2025
For this demo, weve implemented metadata filtering to retrieve only the appropriate level of documents based on the users access level, further enhancing efficiency and security. To understand how this dynamic role-based functionality works under the hood, lets examine the following system architecture diagram.
The MLOps Blog
MARCH 12, 2024
Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. Models are part of chains and agents, supported by specialized tools like vector databases.
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