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Building Private Data LLM’s using RAG (Retrieval Augmented Generation)

Updated: Jan 17

I am really excited to show off a little demo of what we have been working on for the last little while.

This is something that has been top of mind for quite some time and this is where I see most Enterprise organizations utilizing Azure Open Ai to focus their efforts.

I have also had a few customers for Salesbot who are using AI with custom Data so this should be of particular interest to anyone looking to build private data models to leverage.

Let’s take a look at how can we use an LLM to help us make sense of our data and pull out meaningful context from the huge amounts of data available to us. We can than use this relevant context to answer our queries or engage with chatbots and agents.

We created this intro video on what they are and how they work along with the first iteration of our Private Data LLM Interface.

We are leveraging LLAMA Index to make all this happen and you can find the links to the tutorial here



We will be posting the contents for some webinars on this subject here shortly so be sure to check back in or subscribe to our blog to stay tuned for updates.

If you are a company that has data that you would like to leverage your data stores but don’t know where to get started. Have a look at building your own private data llm to start leveraging your data in a meaningful way.


Please reach out and we would love to chat.



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