Pinned Repositories
ansible-elasticsearch
Ansible playbook for Elasticsearch
ansible-kibana
Ansible role for Kibana
ansible-role-elastic-app-search
aws-training-topic-modeling
cb-ansible-config
cb-ec2-terraform-aws
cb-pt-demo
cdk-ec2-simple
MSAI-339-NoSQL
MSAI 339 NoSQL Databases and Data Pipelines with Docker
NoSQL-SDOH
Instructions for launching minimal working NoSQL database and loading CSV data
mirkenstein's Repositories
mirkenstein/MSAI-339-NoSQL
MSAI 339 NoSQL Databases and Data Pipelines with Docker
mirkenstein/NoSQL-SDOH
Instructions for launching minimal working NoSQL database and loading CSV data
mirkenstein/ansible-elasticsearch
Ansible playbook for Elasticsearch
mirkenstein/ansible-kibana
Ansible role for Kibana
mirkenstein/ansible-role-elastic-app-search
mirkenstein/aws-training-topic-modeling
mirkenstein/cb-ansible-config
mirkenstein/cb-ec2-terraform-aws
mirkenstein/cb-pt-demo
mirkenstein/cdk-ec2-simple
mirkenstein/docker-elastic
Deploy Elastic stack in a Docker Swarm cluster. Ship application logs and metrics using beats & GELF plugin to Elasticsearch
mirkenstein/Elasticsearch-ECK-Quick-Start
Testing Inference on the ELK stack
mirkenstein/elk-aws-terraform
mirkenstein/exercises-stdlib
Scala Exercises' lessons for the standard library
mirkenstein/icd10-parsing
mirkenstein/langchain
🦜🔗 Build context-aware reasoning applications
mirkenstein/learn-terraform-aws-instance
mirkenstein/poc-volvo
POC for design partners and prospects
mirkenstein/qdrant-client
Python client for Qdrant vector search engine
mirkenstein/qdrant-fastembed-benchmark
mirkenstein/RosettaCodeData
RosettaCode Data Project
mirkenstein/superduper
Superduper: Integrate AI models and machine learning workflows with your database to implement custom AI applications, without moving your data. Including streaming inference, scalable model hosting, training and vector search.
mirkenstein/superduper-docs
Main documentation for superduperdb