From 2ff288bf3c47c63e3a65d39dd2686e9c4e20e0b8 Mon Sep 17 00:00:00 2001 From: Laure-di Date: Tue, 24 Sep 2024 15:19:27 +0200 Subject: [PATCH] feat(inference): add tutorial how to implement RAG with managed inference --- tutorials/how-to-implement-rag/index.mdx | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 tutorials/how-to-implement-rag/index.mdx diff --git a/tutorials/how-to-implement-rag/index.mdx b/tutorials/how-to-implement-rag/index.mdx new file mode 100644 index 0000000000..a5c48231e2 --- /dev/null +++ b/tutorials/how-to-implement-rag/index.mdx @@ -0,0 +1,17 @@ +--- +meta: + title: How to implement RAG with managed inference + description: +--- + +RAG (Retrieval-Augmented Generation) is a powerful approach for enhancing a model's knowledge by leveraging your own dataset. +Scaleway's robust infrastructure makes it easier than ever to implement RAG, as our products are fully compatible with LangChain, especially the OpenAI integration. +By utilizing our managed inference services, managed databases, and object storage, you can effortlessly build and deploy a customized model tailored to your specific needs. + + +- A Scaleway account logged into the [console](https://console.scaleway.com) +- [Owner](/identity-and-access-management/iam/concepts/#owner) status or [IAM permissions](/identity-and-access-management/iam/concepts/#permission) allowing you to perform actions in the intended Organization +- [Inference Deployment](/ai-data/managed-inference/how-to/create-deployment/): Set up an inference deployment using [sentence-transformers/sentence-t5-xxl](/ai-data/managed-inference/reference-content/sentence-t5-xxl/) on an L4 instance to efficiently process embeddings. +- [Inference Deployment](/ai-data/managed-inference/how-to/create-deployment/) with the model of your choice. +- [Object Storage Bucket](/storage/object/how-to/create-a-bucket/) to store all the data you want to inject into your LLM model. +- [Managed Database](/managed-databases/postgresql-and-mysql/how-to/create-a-database/) to securely store all your embeddings. \ No newline at end of file