Docker-Ray Cluster Setup & Usage Tutorial
Budget: $30 – $250 USD
I'm seeking a skilled professional who can create a clear, informative, and useful video tutorial.
This tutorial should cover how to set up Ray locally to run it with docker compose to run embeddings and search. Here are the Steps:
1. to setup Ray locally (https://www.ray.io/) with docker compose (docker file) ->some samples here for the docker-compose.yaml file
https://discuss.ray.io/t/what-is-best-practice-for-local-setup/6507/4
https://github.com/ray-project/ray/blob/master/python/ray/autoscaler/gcp/example-gpu-docker.yaml
2. And I want to learn how to do embeddings for multiple pdf with ray using this code:
https://github.com/ray-project/langchain-ray/blob/main/embedding_pdf_documents/embedding_ray.py
https://www.anyscale.com/blog/turbocharge-langchain-now-guide-to-20x-faster-embedding
3. And search embeddings with this code:
https://github.com/ray-project/langchain-ray/blob/main/embedding_pdf_documents/embedding_ray.py
The tutorial must cover:
• The setup process for Docker Compose
• The steps for setting up Ray Cluster
• How to perform embeddings and search operations
In terms of technology, I'd like you to use Python, visual studio code...
The final video should present the setup processes from scratch, ensure every step is clear, and greatly simplify the learning process for docker-compose and Ray Cluster setup techniques. Your work is to empower viewers to confidently and independently perform embeddings and search operations.
This tutorial should cover how to set up Ray locally to run it with docker compose to run embeddings and search. Here are the Steps:
1. to setup Ray locally (https://www.ray.io/) with docker compose (docker file) ->some samples here for the docker-compose.yaml file
https://discuss.ray.io/t/what-is-best-practice-for-local-setup/6507/4
https://github.com/ray-project/ray/blob/master/python/ray/autoscaler/gcp/example-gpu-docker.yaml
2. And I want to learn how to do embeddings for multiple pdf with ray using this code:
https://github.com/ray-project/langchain-ray/blob/main/embedding_pdf_documents/embedding_ray.py
https://www.anyscale.com/blog/turbocharge-langchain-now-guide-to-20x-faster-embedding
3. And search embeddings with this code:
https://github.com/ray-project/langchain-ray/blob/main/embedding_pdf_documents/embedding_ray.py
The tutorial must cover:
• The setup process for Docker Compose
• The steps for setting up Ray Cluster
• How to perform embeddings and search operations
In terms of technology, I'd like you to use Python, visual studio code...
The final video should present the setup processes from scratch, ensure every step is clear, and greatly simplify the learning process for docker-compose and Ray Cluster setup techniques. Your work is to empower viewers to confidently and independently perform embeddings and search operations.