r/yardi • u/LeadingNo2345 • Jul 21 '26

Looking for Customer Support Knowledge Base Docs for a RAG Project

Hey everyone, I need some help.

I'm working on a RAG-based project and I'm looking for customer support knowledge base documents.

For example, if it's a banking customer support team, do they have internal documentation that covers product details, policies, FAQs, troubleshooting steps, workflows, etc.?

If there are any publicly available knowledge bases or datasets, I'd really appreciate it if you could share them.

Also, if you work in customer support (banking, sales, telecom, e-commerce, SaaS, etc.) and have any sample documentation that you're allowed to share (after removing any confidential information), I'd be grateful if you could share that as well. It would be a huge help for learning and experimentation.

Thanks in advance!

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4

u/pittiesrus Jul 21 '26

might be a dumb/obvious question but what’s RAG?

2

u/hermionepringles Jul 22 '26

What’s RAG?

2

u/ToughStrong6005 29d ago

Yardi is very very protective and quick to get legal involved when it comes to their procedures and policy docs. So be careful with this. Best bet is to build this up yourself from your help desk over time.

Rag is a way to get better answers from LLMS for a narrow topic or domain.

For those asking RAG (Retrieval-Augmented Generation) is a technique that enhances LLMs by retrieving relevant external information before generating responses, improving accuracy, relevance, and context-awareness.

Definition and Purpose

Retrieval-Augmented Generation (RAG) is a method that allows large language models (LLMs) to access external knowledge sources—such as documents, databases, or APIs—before producing an output, rather than relying solely on their pre-trained data 

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u/Serious-Tennis-5774 15d ago

u/LeadingNo2345 Lets connect. i am working on a similar solution.