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Love this style and the colours you use, so unique. Subscribed. Keep it up!!!!

create a series of video on langgraph and agentic frameworks

Go Yorkshire ❤🎉 Bradford lad in Australia here. I know this would double the work, but it would be good to have one playlist for Python (call it namby pamby playlist) and one for JS (called Cool Kids, obviously). Great work, keep it up.

Go Yorkshire ❤🎉

Amazing, keep this educational approach, stating the structure and role and logic before delving into the code. Very informative thank you

Are you wearing Indonesian Batik? Great short lesson, thank you for sharing!

Great demo

I liked how you explained everything end-to-end. I hope more projects like this will come. Have you scraped any code documentation before? Do you know if there are any ways to automate scraping for code and documentation?

"Interested in GraphRAG? Watch my other video here 👉" - no, graphrag is too expensive, there's a better solution already

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Wow this is such a goldmine of information! I instantly subscribed, looking forward to your next videos!!!

Very useful and well presented! Pydantic AI?

Great video brother. Easy to understand

ERROR: Cannot install llama-index-embeddings-huggingface==0.1.3, llama-index-embeddings-huggingface==0.1.4 and llama-index-embeddings-huggingface==0.1.5 because these package versions have conflicting dependencies. The conflict is caused by: llama-index-embeddings-huggingface 0.1.5 depends on torch<3.0.0 and >=2.1.2 llama-index-embeddings-huggingface 0.1.4 depends on torch<3.0.0 and >=2.1.2 llama-index-embeddings-huggingface 0.1.3 depends on torch<3.0.0 and >=2.1.2 To fix this you could try to: 1. loosen the range of package versions you've specified 2. remove package versions to allow pip to attempt to solve the dependency conflict ERROR: ResolutionImpossible: for help visit pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts Can you help me resolve this? I am getting this while I execute pip install llama-index-embeddings-huggingface

this one is really good

The best series for langgraph… need one series with cool project like this in multi agent system

Thank you for sharing such rich content. It's quite easy to connect with. . The entire world needs to come see what is being offered here about Gen AI

Will, Please add your LinkedIn profile link to the channel. Can you create us another video series about ChatGPT powered personal assistant

Frontend was showing error>> HumanMessage has no Attribute last_message.tool_calls: I had to remove >>> output_parser = StrOutputParser from the lECL chain llm_with_prompt = chat_template | gemmaChatModel.bind_tools(tools) #| output_parser

Good stuff, Thank you SUbscribed

I asked >>> what is the best day for delieveries? @11:44 my chatbot output does not show the user question in the AI message. It's including * 'embeddings': None, 'documents': * Why is my output format different >>> from Will's chatbot output format @11:44 mins? Could it be that the model doesn't respond well to quuestions that it has been hypothetically exposed to in the knowledge base for FAQ? {'ids': [['8', '2b60de29-0560-4dab-932f-b36616a4e88e', '77ab7fdf-da73-4d3d-913d-aed593276f27', '16', 'd3923f72-0b49-4c1c-927c-d91d946583ec']], 'embeddings': None, 'documents': [['What payment methods do you accept?', 'What payment methods do you accept?', 'What payment methods do you accept?', 'What if the flowers I want are out of season?', 'What if the flowers I want are out of season?']], 'uris': None, 'data': None, 'metadatas': [[{'answer': 'We accept all major credit cards, PayPal, and Apple Pay for online orders. For large corporate orders, we also offer invoicing options.', 'question': 'What payment methods do you accept?'}, {'answer': 'We accept all major credit cards, PayPal, and Apple Pay for online orders. For large corporate orders, we also offer invoicing options.', 'question': 'What payment methods do you accept?'}, {'answer': 'We accept all major credit cards, PayPal, and Apple Pay for online orders. For large corporate orders, we also offer invoicing options.', 'question': 'What payment methods do you accept?'}, {'answer': 'If certain flowers are out of season, we offer similar alternatives or can create custom arrangements using in-season blooms that match your desired style and color scheme.', 'question': 'What if the flowers I want are out of season?'}, {'answer': 'If certain flowers are out of season, we offer similar alternatives or can create custom arrangements using in-season blooms that match your desired style and color scheme.', 'question': 'What if the flowers I want are out of season?'}]], 'distances': [[0.16856716573238373, 0.16856716573238373, 0.16856716573238373, 0.1977671980857849, 0.1977671980857849]], 'included': [<IncludeEnum.distances: 'distances'>, <IncludeEnum.documents: 'documents'>, <IncludeEnum.metadatas: 'metadatas'>]}

This is world class teaching materials and agent building approaches. Am learning a lot. Thank you so much.

Thank you for these amazing video series. The best of the kind online. Besides that, after adding the vector store script to the chatbot. The start and response time has increased to morethan a minute before it starts running. What could be causing this?

Thank you for sharing and creating such a real world end-to-end project. The best of the kind on the internet so far.

Cool..!

Thanks, I appreciated your initiative. this is an example of the "human in the loop" graph, very useful. I would suggest you to insert the memory in the graph as well. [.compile(checkpointer=memory)]

Just finished the series and wanna say thank you. Hope you will soon make another serie about Multi AI System using LangGraph. 🇭🇹 🇭🇹 🇭🇹

This is by far the best tutorial I have ever seen on TH-cam. You should keep doing more tutorials like this. I'm a developer living in Haiti and rigth now my goal is to become an AI engineer and I would be glad if you can help me acheive my goal. Thanks a lot

Great tutorial series, I really enjoyed. Would be great if you could make more videos series like this about AI Agent with complete fullstack development. From Haiti

Thanks for putting this series together. Best wishes for your channel

Clear as crystal. Thanks 👍

I love it! The video is full of value, as well as your other content. Subscribed, definitely want to see more of this :)

Hey, can you recommend a book for learning Python? I'm new to it

Really high quality content man!

Well done mate.

Yo you are a saviour needed this for my bachelor's thesis project

such a dope project

hey man great video

Can you please improve audio?

it's really great explanation and example

Hello. tested agentzero, autogen etc imo biggest problem with these are reliability. Hope to get better results using langgraph

you have written laba_index instead of llama_index

Very cool bro <3

Great tutorial, was looking for a way to join my agents/ tools and langgraph is a sure choice. Btw, with function calling now possible with most queries, you can actually write a prompt that will produce a json result witg tool name & parameter. This way you have full control over your agents and you dont have to depend of langchain @tool.

Hi Will thank for the videos they are very useful and well done, I just want to tell you that in the third git hub repo there are only the readme file.

thanks for a clear concise run thru!

thanks, it's a great video to start with LangGraph.

Very nice video! I would love to see a tutorial on a customer support ticket agent. For example the agent is able to answer questions from a knowledge base and use tools to check order status, etc.

Hi. Loved your explanation. Looking forward to more agentic ai based videos. Also, is there a way to have a 1:1 session with you?