Using Spring AI's Output Parsers to structure the response from LLMs
Ғылым және технология
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...
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Пікірлер: 14
Please RAG video next. Also please teach us how to set up vector db
@DanVega
Ай бұрын
Stuffing the prompt next and then a RAG example is on its way.
@sohamsarkar174
Ай бұрын
@@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 ?
@DanVega
Ай бұрын
That sounds like a great idea. What type of documents are you trying to summarize?
@praveens2272
Ай бұрын
@@DanVega mostly PDF documents
👍👍👍
How do you handle different types of responses in your chatbot in the same endpoint ? and without to if in the controller ? do you have some idea thanks ?
next video about RAG please
@DanVega
Ай бұрын
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!
@husane2161
Ай бұрын
Utilizing AI in our apps is the hot topic using Spring AI. I enjoy the niche topic.
@DanVega
Ай бұрын
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.