---
title: "RAG quickstart with Ray, LangChain, and HuggingFace"
url: https://daily.dev/posts/rag-quickstart-with-ray-langchain-and-huggingface-9wxd86ihm
source_url: https://cloud.google.com/blog/products/ai-machine-learning/rag-quickstart-with-ray-langchain-and-huggingface
type: article
source: "Community Picks"
published: 2024-05-05T05:43:44.251Z
updated: 2024-05-09T08:39:06.345Z
tags: ["langchain", "rag", "gke"]
reading_time: 2
upvotes: 12
comments: 0
language: en
---

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# RAG quickstart with Ray, LangChain, and HuggingFace

**[Community Picks](https://daily.dev/sources/community)** · 2 min read · 12 upvotes · 0 comments

## Summary

Learn how to deploy a complete RAG application on Google Kubernetes Engine (GKE), and Cloud SQL for PostgreSQL and pgvector using Ray, LangChain, and Hugging Face.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://cloud.google.com/blog/products/ai-machine-learning/rag-quickstart-with-ray-langchain-and-huggingface>

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---

Tags: [#langchain](https://daily.dev/tags/langchain), [#rag](https://daily.dev/tags/rag), [#gke](https://daily.dev/tags/gke)

[View this post on daily.dev](https://daily.dev/posts/rag-quickstart-with-ray-langchain-and-huggingface-9wxd86ihm)