Spring AI - Bring your own data by Stuffing the Prompt

In this tutorial we will take a look at a technique known as stuffing the prompt. This will allow us to add some context to our prompts when sending a request to the LLM. In this example we use Open AI's GPT-4 Model but this technique will work with all of the supported LLMs.
Spring AI 1.0 Updates
The syntax for some of the features we went through in this video might have changed a little bit with the release of 1.0. Please check out this video I did on the changes in 1.0.0 M1
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Spring AI Introduction: • Spring AI Introduction...
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[@jodye6279]

As a junior developer your explanations are sooooo good! Thanks again for the awesome content

[@hfk0123]

Dan! You're the man! These Spring AI OpenAI videos have been tremendously helpful in building out my own Spring Boot chatbot that uses the OpenAI Assistants API to get real-time data with an external function call. A video dealing with using Assistants to trigger external API calls would be great!

[@LordLamers]

Thanks. And the next video extend this example and use a vector "database".

[@DanVega]

Those are my next 2 videos 🤩

[@sohamsarkar174]

Thank you dan for back to back video

[@satyaprakashnayak1363]

Hi Dan, this is a nicely explained video on AI using Spring. Trust me no one really talks about it. However, I have just one concern, as far as I know these "context" value has restricted token length. Because of that we need to learn RAG architecture. In short resolving problem with this approach is not feasible in real world.

[@tomaszw6449]

👍👍👍