From 1085453d4cc3cff5a1fa309dddc8201078afdff0 Mon Sep 17 00:00:00 2001 From: Adam Tomkins Date: Wed, 22 May 2024 16:17:29 +0100 Subject: [PATCH] update README.md --- README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index a12a82e..9ffeaf8 100644 --- a/README.md +++ b/README.md @@ -2,9 +2,13 @@ Welcome to the Kalavai Flow Deployment tutorial! In this guide, we'll explore the Kalavai AI no-code environment. Using freely available Kalavai AI components, including LLMs, Embeddings Models, and Vector Stores, we'll build and deploy a complex AI-enabled flow, __hosted and deployed for free on the Kalavai Network__. +To get started, we need to visit the [Kalavai Platform](https://platform.kalavai.net/) where new users can sign up, or existing users can log in. + If you want to jump into a fully commisioned RAG system, you can find the full flow file [here][example_flows/], ready to import to a fresh flow, or the whole [collection](example_collection) which you can upload to the main Agent Builder UI, using the Upload Collection button. -To get started, we need to visit the [Kalavai Platform](https://platform.kalavai.net/) where new users can sign up, or existing users can log in. +__NOTE__: You will need to upload you're own documents into the UsntructuredMarkdownLoader to compile, after uploading the flows. + +Keep reading, and we'll go step by step into how to build your RAG system. ## Deploying the Kalavai Agent Builder