Creating an AI Agent with LangGraph Llama 3 & Groq

This video picks up from the previous video and we convert the last Agent to be a LangGraph Agent and make it a bit more advanced. Still using Groq & Llama3 70B for the LLM

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⏱️Time Stamps:
00:00 Intro
00:22 LangGraph Ecosystem
02:17 LangGraph Video
02:30 LangGraph Concepts
05:03 LangGraph Workflow
10:40 The Goal
12:17 Utility Function
12:46 Basic Chains
19:17 Tool Setup
19:39 Setting Up LangGraph State
20:50 Nodes
25:23 Conditional Edges
26:52 Build the Graph

[bonadio]

Langgraph should add this video at their site. Its a great explanation much simpler and to the point. Thanks so much.

[anaWebBasedSoftware]

great, solid base concepts!
converting from colab to code is the perfect exercise to digest what you explained.
Thank you !

[marcintabedzki]

Fantastic intro to langgraph. It's awesome how well you explain this complex topics. Keep up the good work! Cannot wait more real life examples with rag.

[wadejohnson]

Finally! A presentation on LangGraph that makes sense. Sign me up for any of your courses. I value your work.

[akhilsrivastava]

Superb intro. Thanks for making such amazing content

[anhhct]

Thank you! Your style of explanation is very clear.

[teprox]

Thank you so much. I'm so happy that I found your content! ❤❤❤❤

[Munk-tttz]

I've learned so much from you, thank you so much!!!

[PhattharaphonRomphet-kgoj]

Thank you about the knowledge very good explanation

[kai_s]

Please make a video where rag is used! Most companies use their own data to answer questions rather than web search.

[SolidBuildersInc]

Thanks for your Birds Eye View of tying it all together.

It has definitely relaxed my mind to have a structured approach that makes since.

With this structure, I wonder if it can be built from a control

which would introduce a DRY/RAD approach for AI.

[HomunMage]

Thanks for sharing.
I have intrest in LangGraph with llama 3 on local such use ollama

[jdallain]

Really great examples for routing. It’s kinda hard to get that down from the LangGraph examples

[el_arte]

In this contrived example, it doesn’t look like LangGraph adds a lot of value, but requires quite a bit of setup. I mean, a simple script with no opaque marshaling and a few conditionals could achieve the same thing.

[freedtmg]

Dude keep it up. This is gold i only ask you build this stuff in a codebase like you might see in production. I find it really difficult to transfer code from ipynb to a vscode project, call it a mental block, and maybe I'm alone in feeling like this.

[maggiethedog]

Hi Sam. I love your content!

I don't know if this is the proper way to report this, but in the colab notebook, the function def for 'route_to_rewrite' has the line 'research_info = state["research_info"]' which throws a runtime error, and the variable is not referenced in this module. Removing that line fixes the problem.

Keep up the fantastic work Sam!

[SirajFlorida]

This is just the descripting of an agent based Turing Machine. Definitely cool. "

[jzam]

Thank you! It seems like the graph is built based of pre-defined chains and not an Agent who makes decision to independently call tools (kind of like crewai/autogen). Can you make a video where the agent makes decisions on a series of steps of what tools to use, through tool calling please?

[Alan]

It's great ! BTW, if there's a complex graph, it's hard to build the relations without a map

[diegocalderon]

CrewAI is essentially a LangChain wrapper (and IMO not a good one). This is actually a great show case of what customization you can do. If you need flexibility for your Agents, then LangGraph is the way to go.