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@ -5,7 +5,7 @@ Memory management for the AI Applications and AI Agents
![Infographic Image](https://github.com/topoteretes/PromethAI-Memory/blob/main/infographic_final.png)
## A journey toward a production-ready modern data platform
## The Motivation
Browsing the database of theresanaiforthat.com, we can observe around [7000 new, mostly semi-finished projects](https://theresanaiforthat.com/) in the field of applied AI, whose development is fueled by new improvements in foundation models and open-source community contributions.
@ -26,10 +26,11 @@ The rise of this new profession is perhaps signaling the need for a solution tha
To address this issue, [dlthub](https://dlthub.com/) and [prometh.ai](http://prometh.ai/) will collaborate on a productionizing a common use-case, progressing step by step. We will utilize the LLMs, frameworks, and services, refining the code until we attain a clearer understanding of what a modern LLM architecture stack might entail.
## Read more on our blog post [prometh.ai](http://prometh.ai/promethai-memory-blog-post-one)
### Read more on our blog post [prometh.ai](http://prometh.ai/promethai-memory-blog-post-one)
# PromethAI-Memory Repo Structure
The repository contains a set of folders that represent the steps in the evolution of the modern data stack from POC towards production
Level 1 - CMD script to process PDFs
The repository contains a set of folders that represent the steps in the evolution of the modern data stack from POC to production
- Level 1 - CMD script to process PDFs
- Level 2 - Memory Manager implemented in Python