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Best Practices for Implementing Knowledge Retrieval Across Disconnected Systems?

I'm working on a project where we're trying to unify access to knowledge that’s currently scattered across multiple systems (e.g., databases, internal files, and third-party APIs). The goal is to implement a solution that can provide real-time data retrieval while integrating with our existing systems for things like customer service workflows and knowledge management.

I’ve been exploring some RaaS services as a potential strategy, since it seems like a great way to combine generative AI with real-time data retrieval, but wanted to see if anyone here used PythonAnywhere to host or prototype something like this? Specifically:

How do you handle integrations between APIs and databases for real-time retrieval?

Are there any Python libraries or frameworks you’d recommend for setting up a proof of concept?

This is a bit too broad for me to give a clear answer, but maybe someone else can share their experience.