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arun-gupta / readme.md
Last active October 17, 2024 00:34
OPEA ChatQnA on IBM Cloud

OPEA ChatQnA on IBM Cloud

Setup Virtual Server

  • Location: image
  • Image and profile: image
  • Storage: image
@arun-gupta
arun-gupta / readme.md
Last active September 29, 2024 09:06
Knowledge graph and OPEA

Knowledge graph and OPEA

Test

  • Configure
    sudo apt update -y
    sudo apt install python3-pip -y
    pip3 install opea-comps --break-system-packages
    git clone https://github.com/opea-project/GenAIComps
    
@arun-gupta
arun-gupta / readme.md
Last active September 18, 2024 17:21
More OPEA Examples using Docker Compose
@arun-gupta
arun-gupta / readme.md
Last active September 15, 2024 18:23
OPEA ChatQnA on GKE

OPEA ChatQnA on GKE

Create GKE cluster

  • On https://console.cloud.google.com/kubernetes, click on Create on top left, choose Standard, Use Setup Guide, My first cluster, CUSTOMIZE
  • Name: opea-demo
  • c3-standard-8 (8 vCPU, 30 GB memory)
  • Boot disk: 500 GB
  • Change the number of nodes to 1
  • Click on CREATE
@arun-gupta
arun-gupta / readme.md
Last active September 14, 2024 21:20
OPEA on Microsoft Azure using Docker Compose

OPEA on Microsoft Azure using Docker Compose

Create your instance

Ubuntu 22.04

@arun-gupta
arun-gupta / readme.md
Last active September 14, 2024 21:22
OPEA on Google Cloud using Docker Compose

OPEA on Google Cloud using Docker Compose

Create your instance

Ubuntu 22.04

@arun-gupta
arun-gupta / readme.md
Last active October 14, 2024 23:44
OPEA on Oracle Cloud using Docker Compose

OPEA on Oracle Cloud using Docker Compose

Create your instance

Ubuntu 24.04

@arun-gupta
arun-gupta / readme.md
Last active September 18, 2024 04:10
OPEA on AWS using Docker Compose

OPEA on AWS using Docker Compose

Pick your AMI

Ubuntu

  • Launch an Ubuntu 24.04, m7i.4xlarge instance (16 vCPU, 64 GB memory). Change storage to 500GB.
  • Install Docker:
@arun-gupta
arun-gupta / readme.md
Last active September 5, 2024 01:24
OPEA on Amazon EKS

OPEA on Amazon EKS

  • Create EKS cluster as explained at https://www.eksworkshop.com/docs/introduction/setup/your-account/ using VSCode option. m7i.4xlarge and m5.4xlarge is causing this issue. Use this command instead to create the cluster:
    export EKS_CLUSTER_NAME=eks-workshop
    #curl -fsSL https://raw.githubusercontent.com/aws-samples/eks-workshop-v2/stable/cluster/eksctl/cluster.yaml | sed -e 's/m5.large/m7i.4xlarge/g' -e 's/: 3/: 1/g' | \
    curl -fsSL https://raw.githubusercontent.com/aws-samples/eks-workshop-v2/stable/cluster/eksctl/cluster.yaml | sed -e 's/m5.large/m5.4xlarge/g' | \
    envsubst | eksctl create cluster -f -
    
    This will create a three-node EKS cluster using m5.4xlarge instead of the default m5.large instance type. Here is the final output:
https://teams.microsoft.com/l/meetup-join/19:meeting_ZWQ5NWY3ZjgtNGY4NS00MTg0LThmZmYtMjY2ZDU5OTkwZmUx@thread.v2/0?context=%7B%22Tid%22:%220f9e35db-544f-4f60-bdcc-5ea416e6dc70%22,%22Oid%22:%22d4362d76-0393-4c11-8e67-c5d1d25cb3bc%22%7D