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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

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. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

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Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning - AI

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. Prompt engineering Prompt engineering is crucial for the knowledge retrieval system. The following diagram shows the solution architecture.

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Apiumhub organizes the Global Software Architecture Summit in Barcelona, October 10, 2019

Apiumhub

2019 has become a remarkable year for Apiumhub ; new office, Apium Academy , Open Source Projects , software architecture meetups, cool innovative projects and… we can’t wait to share with you guys that the Apiumhub team is organizing the Global Software Architecture Summit (GSAS) 10th of October in Barcelona. Michael Feathers.

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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

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.

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Comparing Database Management Systems: MySQL, PostgreSQL, MSSQL Server, MongoDB, Elasticsearch and others

Altexsoft

Database Management System or DBMS is a software which communicates with the database itself, applications, and user interfaces to obtain and parse data. For our comparison, we’ve picked 9 most commonly used database management systems: MySQL, MariaDB, Oracle, PostgreSQL, MSSQL, MongoDB, Redis, Cassandra, and Elasticsearch. Relational.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

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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The importance of software documentation tools

Apiumhub

Atlassian’s Confluence is a document management system that facilitates collaboration and knowledge sharing across a variety of departments and functions. You can use Confluence to collect your team’s ideas, knowledge, and plans and then switch to Jira in order to create and track issues that are related to this information.