Merge pull request #38 from topoteretes/feature/keepi_deployment

Build and deploy keepi integration support

README.md

@@ -56,13 +56,13 @@ AI Applications and RAGs - Cognitive Architecture, Testability, Production Ready
 
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@@ -73,17 +73,17 @@ AI Applications and RAGs - Cognitive Architecture, Testability, Production Ready
 [Star us on Github!](https://www.github.com/topoteretes/cognee)
 
 Jump into the world of RAG architecture, inspired by human cognitive processes, using Python.
-The project runs in iterations, from POC towards production ready code.  
+[cognee](www.cognee.ai) 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
+To try it yourselfon Whatsapp with one of our partners(www.keepi.ai) by typing /save content followed by /query content
 
 
 
 ### Get Started in Moments
 
-Running cognee is a breeze. Simply run  `cp env.example .env` and `docker compose up cognee` in your terminal.
+Running [cognee](www.cognee.ai) is a breeze. Simply run  `cp env.example .env` and `docker compose up cognee` in your terminal.
 Send API requests add-memory, user-query-to-graph, document-to-graph-db, user-query-processor to the locahost:8000