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 92

Artificial Inteligence Applications Knowledge Base AWS 92

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.

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Artificial Inteligence Serverless Engineering Generative AI 86

AWS Machine Learning - AI

MAY 14, 2024

The entire conversation in this use case, starting with generative AI and then bringing in human agents who take over, is logged so that the interaction can be used as part of the knowledge base. We built the RAG solution as detailed in the following GitHub repo and used SageMaker documentation as the knowledge base.

Generative AI 83

Generative AI Artificial Inteligence AWS Applications 83

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 104

Artificial Inteligence Generative AI AWS Data 104

Codegiant

JULY 18, 2020

Free and unlimited GitHub private repositories, however, with limited GitHub repository storage size. Git Large File Storage (LFS) ?—?Both 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.

Software Review 59

Software Review Technical Review Systems Review UI/UX 59

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. There was no monitoring, load balancing, auto-scaling, or persistent storage at the time.

Artificial Inteligence 103

Artificial Inteligence Generative AI AWS Load Balancer 103

Codegiant

JULY 2, 2020

Also, GitHub’s storage limit on the free plan can be a bit low. Store large files and rich media in Git LFS (Large File Storage). You can create API documentation, status pages, knowledge bases, product roadmaps, etc. Knowledge bases and FAQs. Versioning and aliasing for serverless requests?—?Track

Software Review 52

Software Review Open Source Systems Review AWS 52

iTexico

AUGUST 9, 2019

These services may include disaster recovery, the Internet of Things, serverless computing, and so on so forth. Active Directory was incorporated into the Microsoft Server product line later, enhancing Microsoft Server storage capabilities.

Azure 8

Azure Cloud Disaster Recovery Data Center 8

Altexsoft

MARCH 30, 2023

The relatively new storage architecture powering Databricks is called a data lakehouse. This way, Delta Lake brings warehouse features to cloud object storage — an architecture for handling large amounts of unstructured data in the cloud. This storage layer was created by Netflix for internal needs and open-sourced two years later.

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Weak Development Team Artificial Inteligence Machine Learning Software Review 64