Knowledge Base and Serverless

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

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

Knowledge Base

Knowledge Base Artificial Inteligence Generative AI AWS

Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning - AI

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

Knowledge Base

Knowledge Base Artificial Inteligence AWS Generative AI

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

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.

Knowledge Base

Knowledge Base Artificial Inteligence Applications Lambda

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

FEBRUARY 8, 2024

You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to configure specialized agents that seamlessly run actions based on natural language input and your organization’s data. Knowledge Bases for Amazon Bedrock provides fully managed RAG to supply the agent with access to your data.

Knowledge Base

Knowledge Base Insurance Lambda AWS

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

APRIL 23, 2024

This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework. AWS Well-Architected design principles RAG-based applications built using Knowledge Bases for Amazon Bedrock can greatly benefit from following the AWS Well-Architected Framework.

Knowledge Base

Knowledge Base Scalability Applications Generative AI

Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning - AI

MAY 13, 2024

It’s serverless, so you don’t have to manage any infrastructure. To implement our RAG system, we utilized a dataset of 95,000 radiology report findings-impressions pairs as the knowledge source. This dataset was uploaded to Amazon Simple Service (Amazon S3) data source and then ingested using Knowledge Bases for Amazon Bedrock.

Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

CIO

APRIL 11, 2024

One example is with its recently introduced OCI Generative AI Agents, a managed service that combines large language models with an intelligent retrieval system to create contextually relevant answers by searching a knowledge base.

Enterprise

Enterprise Artificial Inteligence Cloud Generative AI

Cloud Security: 5 Key Takeaways from the SANS DevSecOps Survey

Tenable

DECEMBER 8, 2022

At the root of many of the DevSecOps challenges highlighted in the SANS report is the increasingly hybrid, multi-cloud nature of organizations’ IT environments, where applications are “more than ever” being hosted on-premises and in multiple cloud platforms using virtual machines, containers and serverless functions. in 2021 to 18.4%

Survey

Survey Cloud Software Review Serverless

Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

AWS Machine Learning - AI

APRIL 8, 2024

RAG allows models to tap into vast knowledge bases and deliver human-like dialogue for applications like chatbots and enterprise search assistants. Download press releases to use as our external knowledge base. Query the knowledge base. Deploy an embedding model from the Amazon SageMaker JumpStart hub.

Artificial Inteligence

Artificial Inteligence Applications Knowledge Base AWS

Turn Your Contact Center Into a Revenue Center

Perficient

MAY 6, 2024

Your contact center is a living knowledge base where your agents not only cover common questions, but also provide expert-level answers to the complex questions your customers ask. How do I order spare parts? When will the service technician arrive? These are all common questions lobbed into customer service centers.

Technical Advisors

Technical Advisors B2B Retail Mobile

Build a contextual chatbot for financial services using Amazon SageMaker JumpStart, Llama 2 and Amazon OpenSearch Serverless with Vector Engine

AWS Machine Learning - AI

NOVEMBER 22, 2023

The LLM generated text, and the IR system retrieves relevant information from a knowledge base. We also use Vector Engine for Amazon OpenSearch Serverless (currently in preview) as the vector data store to store embeddings. An OpenSearch Serverless collection. Store the document embedding in OpenSearch Serverless.

Artificial Inteligence

Artificial Inteligence Serverless Engineering Generative AI

Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

AWS Machine Learning - AI

FEBRUARY 28, 2024

However, you can also use knowledge bases in Amazon Bedrock to build RAG solutions quickly. Using the Titan-Text-Embeddings model on Amazon Bedrock , convert the metadata into embeddings and store it in an Amazon OpenSearch Serverless vector store , which serves as our knowledge base in our RAG framework.

Artificial Inteligence

Artificial Inteligence Generative AI AWS Data

Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support

AWS Machine Learning - AI

MAY 9, 2024

Verisk FAST’s AI companion aims to alleviate this burden by not only providing 24/7 support for business processing and configuration questions related to FAST, but also tapping into the immense knowledge base to provide an in-depth, tailored response. However, they understood that this was not a one-and-done effort.

Generative AI

Generative AI Artificial Inteligence Technical Review Development Team Review

The Five Pillars of AWS Well-Architected Framework?—?Understanding What Makes the Cloud Secure

Cloud Conformity

MARCH 1, 2019

The framework underpins our entire platform and forms our Knowledge Base to ensure your cloud infrastructure is the most resilient, secure and efficient for your needs. Serverless architecture can be a great win for this pillar, as can the use of AWS Lambda and AWS CloudFront to reduce latency.

AWS

AWS Cloud Software Review Infrastructure

Best practices to build generative AI applications on AWS

AWS Machine Learning - AI

MARCH 14, 2024

With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage any infrastructure. Knowledge base responses come with source citations to improve transparency and minimize hallucinations.

Generative AI

Generative AI AWS Applications Artificial Inteligence

Announcing Cloudera’s Enterprise Artificial Intelligence Partnership Ecosystem

Cloudera

DECEMBER 20, 2023

This includes the release of a new Applied ML Prototype (AMP) that will allow developers to quickly create and augment new knowledge bases from data on their own website, as well as pre-built connectors that will enable customers to quickly set up ingest pipelines in AI applications.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning

Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

MARCH 28, 2024

It provides a modular and flexible framework for combining LLMs with other components, such as knowledge bases, retrieval systems, and other AI tools, to create powerful and customizable applications. Marco is based in Seattle, WA and enjoys writing, reading, exercising, and building applications in his free time.

Artificial Inteligence

Artificial Inteligence Generative AI AWS Load Balancer

Top 13 GitHub Alternatives in 2020 [Free and Paid]

Codegiant

JULY 2, 2020

You can create API documentation, status pages, knowledge bases, product roadmaps, etc. Knowledge bases and FAQs. Versioning and aliasing for serverless requests?—?Track Codegiant CI supports native Docker, Kubernetes, and the Knative engine. You can also upload your logo and press publish. Debug in production?—?Google

Software Review

Software Review Open Source Systems Review AWS

BitBucket vs GitHub?—?The Complete Review [2020]

Codegiant

JULY 18, 2020

Documentation tool Codegiant’s robust publishable doc tool will help you design API docs, status pages, knowledge bases and product roadmaps without any hassle whatsoever. Knowledge bases and FAQs. Track changes that occur in your code over time with versioning and aliasing for serverless requests. Translations?—?Get

Software Review

Software Review Technical Review Systems Review UI/UX

Azure Migration Easy!

iTexico

AUGUST 9, 2019

These services may include disaster recovery, the Internet of Things, serverless computing, and so on so forth. Not only is the cloud hosting platform a service in of itself, but it also provides you with virtually any service you can think of to facilitate growth.

Azure

Azure Cloud Disaster Recovery Data Center

The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

MARCH 30, 2023

Detailed and comprehensive documentation plus knowledge base for troubleshooting Databtricks provides numerous tutorials, quickstarts, how-to articles, and best practices guides published on their official website. Framework Programming The Good and the Bad of Node.js

Weak Development Team

Weak Development Team Machine Learning Artificial Inteligence Software Review

CTO Universe

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

Knowledge Bases for Amazon Bedrock now supports hybrid search

Trending Sources

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

Evaluation of generative AI techniques for clinical report summarization

Oracle makes its pitch for the enterprise cloud. Should CIOs listen?

Cloud Security: 5 Key Takeaways from the SANS DevSecOps Survey

Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

Turn Your Contact Center Into a Revenue Center

Build a contextual chatbot for financial services using Amazon SageMaker JumpStart, Llama 2 and Amazon OpenSearch Serverless with Vector Engine

Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support

The Five Pillars of AWS Well-Architected Framework?—?Understanding What Makes the Cloud Secure

Best practices to build generative AI applications on AWS

Announcing Cloudera’s Enterprise Artificial Intelligence Partnership Ecosystem

Advanced RAG patterns on Amazon SageMaker

Top 13 GitHub Alternatives in 2020 [Free and Paid]

BitBucket vs GitHub?—?The Complete Review [2020]

Azure Migration Easy!

The Good and the Bad of Databricks Lakehouse Platform

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