KBaaS AI Backbone

1.0.1

Overview

Description

The AI Backbone Service is a core component of the Slangit AI microservices platform. It provides API endpoints, request routing, and service coordination. This service enables seamless integration with multiple AI models and provides an interface for AI capabilities across the Slangit ecosystem. Key Features are API endpoints for AI operations, Service coordination, and request routing. It calls the APIs from our vector search and utility services to complete a request-response cycle. It abstracts the inter-service communication between the lower-level services to provide a clean and simple API calling experience.

Products using this container

Slangit KBaaS

Slangit's KBaaS is an AI-engine developed to enable organizations (Government and Enterprises) to retrieve information from their data using various forms of knowledge retrieval techniques.

Containerized application

Security

Technical information

General information

The following information was extracted from the containerfile and other sources.

Summary	AI Backbone service providing model orchestration and APIs
Description	The Universal Base Image Minimal is a stripped down image that uses microdnf as a package manager. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly.
Provider	Slangit Technologies FZO
Maintainer	Support <support@slangit.ai>

Technical information

The following information was extracted from the containerfile and other sources.

Repository name	ai-backbone
Image version	1.0.1
Architecture	amd64

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Registry

Repository

Manifest List Digest

Image Digest

This certified image is distributed by a third party registry. Use the information above to pull the image or view pulling certified images from third party registries for more information.

Getting the AI Backbone Image

Prerequisites

OpenShift CLI (oc) installed
AWS credentials configured
Docker CLI installed

Method 1: Using OpenShift Internal Registry (Recommended)

Step 1: Login to OpenShift ROSA cluster

# Login to OpenShift ROSA cluster
oc login --server=https://api.slangit-rosa.ies1.p3.openshiftapps.com:443 --web

Step 2: Login to Internal OpenShift Registry

docker login default-route-openshift-image-registry.apps.rosa.slangit-rosa.ies1.p3.openshiftapps.com \
  -u $(oc whoami) -p $(oc whoami -t)

Step 3: Pull the AI Backbone Image

docker pull default-route-openshift-image-registry.apps.rosa.slangit-rosa.ies1.p3.openshiftapps.com/ai-service/ai_backbone_service:1.0.1

Notes

Docker is only required if you want to run the image locally.
For deployment in OpenShift, the internal image can be referenced directly in your manifests.
For further support or questions, contact: support@slangit.ai

Description

Products using this container

Slangit KBaaS

Published

Release category

Size

Digest

General information

Technical information

Getting the AI Backbone Image

Prerequisites

Method 1: Using OpenShift Internal Registry (Recommended)

Step 1: Login to OpenShift ROSA cluster

Step 2: Login to Internal OpenShift Registry

Step 3: Pull the AI Backbone Image

Notes

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KBaaS AI Backbone

Description

Products using this container

Slangit KBaaS

Published

Release category

Size

Digest

General information

Technical information

Getting the AI Backbone Image

Prerequisites

Method 1: Using OpenShift Internal Registry (Recommended)

Step 1: Login to OpenShift ROSA cluster

Step 2: Login to Internal OpenShift Registry

Step 3: Pull the AI Backbone Image

Notes