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Merge pull request #39 from topoteretes/feature/keepi_deployment

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Update the flow
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Vasilije 2024-01-26 15:36:19 +01:00 • committed by GitHub
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@ -77,7 +77,7 @@ Jump into the world of RAG architecture, inspired by human cognitive processes,
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 try it yourselfon Whatsapp with one of our partners(www.keepi.ai) by typing /save content followed by /query content
Try it yourself on Whatsapp with one of our [partners](www.keepi.ai) by typing /save _content_ followed by /query _content_
@ -91,9 +91,11 @@ Send API requests add-memory, user-query-to-graph, document-to-graph-db, user-qu
### Current Focus
#### Integration to keepi.ai and other apps
Use Neo4j to map user preferences into a graph structure consisting of semantic, episodic, and procedural memory.
Fetch information and store information and files on Whatsapp chatbot using Keepi.ai
Use the graph to answer user queries and store new information in the graph.
Uses Neo4j to map user preferences into a graph structure consisting of semantic, episodic, and procedural memory.
Fetches information and stores information and files on Whatsapp chatbot using [keepi.ai](www.keepi.ai)
Uses the graph to answer user queries and store new information in the graph.
### Architecture