Using Spring AI's Output Parsers to structure the response from LLMs
2024 ж. 16 Мам.
2 073 Рет қаралды
In this tutorial we will discuss the Output Parsers in Spring AI. The Output Parsers will help us get what we want from the LLM and turn them into a desired response.
🔗Resources & Links mentioned in this video:
Spring AI Introduction: • Spring AI Introduction...
GitHub Repository: github.com/danvega/spring-int...
👋🏻Connect with me:
Website: www.danvega.dev
Twitter: / therealdanvega
Github: github.com/danvega
LinkedIn: / danvega
Newsletter: www.danvega.dev/newsletter
SUBSCRIBE TO MY CHANNEL: bit.ly/2re4GH0 ❤️
Please RAG video next. Also please teach us how to set up vector db
Stuffing the prompt next and then a RAG example is on its way.
@@DanVega Sounds exciting!!! Can't wait for your next video. Thank you Dan
Excellent stuff! Please do something where we do RAG with a Weaviate DB. I'm looking to build an app where I have message arriving via AWS SQS that I would like to pump into the vector DB and then pass into the LLM locally so I don't leak company confidential information. I have Ollama running and this works wellish so far on my MacbookPRO (old Intel). Understand the local GPU problem , but can live with that for dev/evaluation. SpringAI really makes talking to these LLM's a breeze - great work to the Spring Teams!
Can you please create a video on how to Summerize large document using Spring AI ?
That sounds like a great idea. What type of documents are you trying to summarize?
@@DanVega mostly PDF documents
👍👍👍
next video about RAG please
It's coming soon!
Dan, great video as always, but I'm sorry to say that this one seems a bit too niche with its focus on AI and some marginal technical aspects. Perhaps consider going back to your regular topics, which have a wider appeal and tend to capture more attention. Thanks!
Utilizing AI in our apps is the hot topic using Spring AI. I enjoy the niche topic.
AI is a big topic right now and being able to build intelligent applications with Spring is something I get asked about a lot. I have 5 more videos coming on the topic and then I will be working on some htmx content.