From 62fe139c92659753ffafa9fb7381f61e547a16bc Mon Sep 17 00:00:00 2001
From: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
Date: Thu, 25 Jan 2024 17:30:14 +0100
Subject: [PATCH] Build and deploy keepi integration support

---
 README.md | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 19ae0aae6..ed98fb492 100644
--- a/README.md
+++ b/README.md
@@ -74,8 +74,10 @@ AI Applications and RAGs - Cognitive Architecture, Testability, Production Ready
 
 This repo is built to test and evolve RAG architecture, inspired by human cognitive processes, using Python. 
 It's aims to be production ready, testable, and give great visibility in how we build RAG applications.
-It runs in iterations, from POC towards production ready code.
-To read more about the approach and details on cognitive architecture, see the blog post: [AI Applications and RAGs - Cognitive Architecture, Testability, Production Ready Apps](https://topoteretes.notion.site/Going-beyond-Langchain-Weaviate-and-towards-a-production-ready-modern-data-platform-7351d77a1eba40aab4394c24bef3a278?pvs=4)
+It runs in iterations, from POC towards production ready code.  
+
+To read more about the approach and details on cognitive architecture, see the blog post: [AI Applications and RAGs - Cognitive Architecture, Testability, Production Ready Apps](https://topoteretes.notion.site/Going-beyond-Langchain-Weaviate-and-towards-a-production-ready-modern-data-platform-7351d77a1eba40aab4394c24bef3a278?pvs=4)  
+
 Try it on Whatsapp with one of our partners Keepi.ai by typing /save {content} followed by /query {content}
 
 
@@ -88,7 +90,7 @@ Use the graph to answer user queries and store new information in the graph.
 
 
 
-![Image](https://github.com/topoteretes/PromethAI-Memory/blob/main/level_4/User_graph.png)
+![Image](https://github.com/topoteretes/PromethAI-Memory/blob/main/assets/User_graph.png)
 
 
 ### Installation