I've said this before, and I'll say it again. His voice is soothing, and it's the reason I often watch his videos, even when I don't understand much of it
The one thing I can think about is, "Is he writing in reverse?" If he's writing on the backside of this glass wouldn't he have to write backwards, like in a mirror, for it top appear normal to the camera? It can't be a post effect where you flip it for the video because then this hand and marker wouldn't match the writing. The writing looks too natural and fluid to be in reverse...or is it? I can't pay attention to anything else till I figure this out
That's the reason why we avoid saying left or right or why you don't see anyone with text on their shirts. The only other real clue is how many people are seemingly writing with their left hands.
Great explaination and easy to follow! So from my understanding ChatGPT would be a Langgraph type of application, since it keeps long context and has internet access?
Summurize part i guess it is not automatic, usually the retriever provide chunks of text with limited token size then the prompt LLM will concatinate these chunks and tried to generate an answer based on the context
LangGraph is the agent step management and tool access. LangChain is a whole framework to build applications with loaders (for file types, per example), third parties integration (like Outlook) and so on. Both use AI.
I too want to know! Is this a glass between camera and presenters? That would make the text and drawings reversed (mirrored). Or is this a mirror and the speakers are looking at the mirror? Then where is the camera in the reflection? :)
In front of the camera there is a glass pane, behind which he's standing facing the camera. Now, he draws with the marker pen on the glass. This results in an inverted text being recorded. Lastly, while editing, the video is mirrored (flipped) horizontally.
Hmm... While LangChain is easy to understand (great video btw), LangGraph is presented a little bit too abstract here. Perhaps some examples would have helped.
still not clear the difference of two frameworks in a practical manner. would need real-case examples to get the topic. For now cant decide which one to use when in what situation, can both tools handle same projects for ex ?
The best way to do it is to try it out. Build simple RAG locally or in Azure Portal with PostgreSQL vector DB and some simple agent (you can find ready to go examples in documentation) + add tools (description for agent on how and when to use this tool - ex. cover specific dataset; and prompt - to streamline further generation). It will cost you nothing, 2-3 days to play with it Real-case - me and my team build AI Assistant for an investment company. We store info about their investment products and help their clients to search for them or get recommendations. User asks the question regarding specific asset domain/sector. Agent analyzes the question, decides which data collection to retrieve from, which tool to use to process this data and gives everything to LLM which generates the final answer. This is langchain
Talking about LangGraph - we can not only add new tools and prompts to cover different questions, but create workflows with several: tools /agent decisions /places to retrieve data/ switching between SQL or vector search. Besides that, there are various ways to augment or finetune the workflow (graph).
I've said this before, and I'll say it again. His voice is soothing, and it's the reason I often watch his videos, even when I don't understand much of it
Too soothing and sloow.. puts me to sleep actually!
im just trying to figure out how he writes backwards
Perfect. I was just getting started to look into langgraph and was looking for a video and this one was just perfect.
Martin is such a fantastic presenter.
Great presenter! Very clear and informative, thanks a lot. 💯
Awesome video. Simple, crisp and to the point
great video to explain the difference of LangChain to LangGraph
What a way to start a Monday. I’ve been meaning to look into this
The one thing I can think about is, "Is he writing in reverse?" If he's writing on the backside of this glass wouldn't he have to write backwards, like in a mirror, for it top appear normal to the camera? It can't be a post effect where you flip it for the video because then this hand and marker wouldn't match the writing. The writing looks too natural and fluid to be in reverse...or is it? I can't pay attention to anything else till I figure this out
If you want to see how it's done, check out this behind the scenes video ua-cam.com/video/Uoz_osFtw68/v-deo.htmlfeature=shared
@@IBMTechnology I was wondering the same thing: and wondering if I could tell if the whole thing was mirrored by seeing which way the gestures go.
That's the reason why we avoid saying left or right or why you don't see anyone with text on their shirts. The only other real clue is how many people are seemingly writing with their left hands.
Great explaination and easy to follow! So from my understanding ChatGPT would be a Langgraph type of application, since it keeps long context and has internet access?
Summurize part i guess it is not automatic, usually the retriever provide chunks of text with limited token size then the prompt LLM will concatinate these chunks and tried to generate an answer based on the context
Thank for sharing👍
Exactly what I was lookig for, Thanks!!
Wow, so simply put! Thanks!
Insightful as always 😊
Soft and cute way to learn a complex game amazing content ❤
Excellent video, thank you 👏
Amazing as always!
nice explanation with usecase
how did this guy fraw on a transparent board? is this a web platform? anyone know? thanks bro!
I suspect it's just a glass in front of the camera. In post processing they flip screen sides to make it readable for the audience.
Can Laingraph do sequential tasks? If so why do we still need lainchain?
LangGraph is the agent step management and tool access. LangChain is a whole framework to build applications with loaders (for file types, per example), third parties integration (like Outlook) and so on. Both use AI.
It's free to use langraph?
I too want to know! Is this a glass between camera and presenters? That would make the text and drawings reversed (mirrored). Or is this a mirror and the speakers are looking at the mirror? Then where is the camera in the reflection? :)
Nice format, great insights! Not many ways to get that..
This dude's real good at writing backwards!
It is mirrored, not him writing backwards. Camera behind the board, video is flipped horizontally.
How about llama index
nice video. thank you.
are you writing backwards?
it’s probably mirrored horizontally
How do u make these videos???
In front of the camera there is a glass pane, behind which he's standing facing the camera. Now, he draws with the marker pen on the glass. This results in an inverted text being recorded. Lastly, while editing, the video is mirrored (flipped) horizontally.
Hmm... While LangChain is easy to understand (great video btw), LangGraph is presented a little bit too abstract here. Perhaps some examples would have helped.
still not clear the difference of two frameworks in a practical manner. would need real-case examples to get the topic. For now cant decide which one to use when in what situation, can both tools handle same projects for ex ?
because you'll still need to use agent (agent classes) from langchain while building the graph
The best way to do it is to try it out. Build simple RAG locally or in Azure Portal with PostgreSQL vector DB and some simple agent (you can find ready to go examples in documentation) + add tools (description for agent on how and when to use this tool - ex. cover specific dataset; and prompt - to streamline further generation). It will cost you nothing, 2-3 days to play with it
Real-case - me and my team build AI Assistant for an investment company. We store info about their investment products and help their clients to search for them or get recommendations. User asks the question regarding specific asset domain/sector. Agent analyzes the question, decides which data collection to retrieve from, which tool to use to process this data and gives everything to LLM which generates the final answer. This is langchain
Talking about LangGraph - we can not only add new tools and prompts to cover different questions, but create workflows with several: tools /agent decisions /places to retrieve data/ switching between SQL or vector search.
Besides that, there are various ways to augment or finetune the workflow (graph).
wow cool video, kind to go langchain some more?
I would like to see a real example to understand better. Thanks
Blockchain and ai new trand 🎉
Those explanation meant nothing unless there is a real-life example to actually show the differences.
Anyone here wants to know about real world applications which are using these mentioned framework? 😅
very good
Don't need the cheesy dialogue - the contents of the video are compelling enough
Well made vid.
But. Show me some actual implementation examples.
Uhhhh... that's not a correct explanation of chaining
So what is? Please edify us :)
Is he writing backwards?!? *faints*
That’s not exactly how chains word.
is he writing backwards on his end?
N8N seems to be a joke compared to this.
Not a really great explanation
Exactly what I was lookig for, Thanks!!
Exactly what I was lookig for, Thanks!!