Build and deploy keepi integration support

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Vasilije 2024-01-26 14:10:44 +01:00
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commit 280a294ea1

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@ -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) [Star us on Github!](https://www.github.com/topoteretes/cognee)
Jump into the world of RAG architecture, inspired by human cognitive processes, using Python. 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) 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 ### 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 Send API requests add-memory, user-query-to-graph, document-to-graph-db, user-query-processor to the locahost:8000