Architecture AWS Knowledge Base Scalability 
AWS Machine Learning - AI
FEBRUARY 29, 2024
Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. RAG is a popular technique that combines the use of private data with large language models (LLMs).
AWS Machine Learning - AI
MAY 30, 2024
In this blog, we walkthrough the architectural components, evaluation criteria for the components selected by Vitech and the process flow of user interaction within VitechIQ. The following diagram shows the solution architecture. Alternatively, open-source technologies like Langchain can be used to orchestrate the end-to-end flow.
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AWS Machine Learning - AI
APRIL 23, 2024
As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles.
AWS Machine Learning - AI
FEBRUARY 19, 2024
One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.
Cloudera
DECEMBER 20, 2023
At our recent Evolve Conference in New York we were extremely excited to announce our founding AI ecosystem partners: Amazon Web Services (“AWS“), NVIDIA, and Pinecone. In the AMP, Pinceone’s vector database uses these knowledge bases to imbue context into chatbot responses, ensuring useful outputs.
Kentik
MAY 14, 2019
Regardless of the exact “whys,” adoption of cloud architectures doesn’t happen in a vacuum. And so, whenever we talk about “multi-cloud” architectures, we should also consider “hybrid-cloud” architectures — these two scenarios go hand-in-hand when we take a holistic look at an organization’s network infrastructure.
Altexsoft
MARCH 30, 2023
The relatively new storage architecture powering Databricks is called a data lakehouse. To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. These improvements become possible due to the core components of the Databricks architecture — Delta Lake and Unity Catalog.
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