Great Tutorial and very well explained. Didn't know the agent can be tasked to search for a particular page. Thank you 🙏
@DS-AIwithKV3 күн бұрын
@@jaggyjut thank you 🥰
@AdityaSinghCodes11 күн бұрын
You are amazing.
@DS-AIwithKV11 күн бұрын
@@AdityaSinghCodes thank you so much for always supporting!!
@0xh8h13 күн бұрын
when to use CrewAI/Langgraph and when to use something like PydanticAI/Langchain? It's a bit confused to me at the moment
@DS-AIwithKV12 күн бұрын
Hi, great question! CrewAi specializes in multi-agent system, In this tutorial I only have 1 agent, however, you can design a multi-agent system where they all talk to each other and delegate tasks. Langgraph is like a workflow that can orchestrate multiple steps. It can also be used for multi-agent systems as well by designing the workflow, how you want to control the information, where the agent can "jump" in and help. It will be a bit more complicated than CrewAi. Langchain is for injecting new information that is not on the model knowledge base. For example, if your products have complicated safety instructions, you will want the model to query your information only when it comes to safety. Or when you have multiple prompts and you want to chain them all together in the workflow (mostly for Question-answer). I personally didn't have much interaction with PydanticAI but based on their docs, they also provide AI agent framework. Because they are built on top of Pydantic, they have more of a validation output, type safety, easy for programmers to debug than other framework
@jaggyjut3 күн бұрын
Great Question.
@crewAIInc16 күн бұрын
Good work! 👏
@DS-AIwithKV16 күн бұрын
Thank you so much 🎉
@nojepnt16 күн бұрын
Awesome tutorial. Thank you!
@DS-AIwithKV16 күн бұрын
@@nojepnt thank you so much!
@prod.bykbrd572317 күн бұрын
You nailed this tutorial. Thank you so much. Please keep them coming.
@DS-AIwithKV17 күн бұрын
Thank you so much!!
@niksbanna16 күн бұрын
I missed the purpose of the video and was watching you in the whole video😍