LangChain vs LangGraph: A Tale of Two Frameworks

  Рет қаралды 32,345

IBM Technology

IBM Technology

Күн бұрын

Пікірлер: 34
@abiofficial-ws7pn
@abiofficial-ws7pn 27 күн бұрын
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
@ErroneousTheory
@ErroneousTheory 27 күн бұрын
What a way to start a Monday. I’ve been meaning to look into this
@amotorcyclerider3230
@amotorcyclerider3230 27 күн бұрын
Perfect. I was just getting started to look into langgraph and was looking for a video and this one was just perfect.
@LaylaBitar-z7z
@LaylaBitar-z7z 8 күн бұрын
Wow, so simply put! Thanks!
@throughiris8676
@throughiris8676 27 күн бұрын
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
@IBMTechnology
@IBMTechnology 27 күн бұрын
If you want to see how it's done, check out this behind the scenes video kzbin.info/www/bejne/i6DdkKKpe9mqbJofeature=shared
@tahirk9
@tahirk9 13 күн бұрын
Exactly what I was lookig for, Thanks!!
@kishanmod5857
@kishanmod5857 16 күн бұрын
Insightful as always 😊
@leonardosilveira1297
@leonardosilveira1297 27 күн бұрын
Amazing as always!
@tee_iam78
@tee_iam78 15 күн бұрын
nice video. thank you.
@GenAISpotlight
@GenAISpotlight 27 күн бұрын
Excellent video, thank you 👏
@AleksandrSedov-o6o
@AleksandrSedov-o6o 26 күн бұрын
Nice format, great insights! Not many ways to get that..
@raptordudu
@raptordudu 27 күн бұрын
Can Laingraph do sequential tasks? If so why do we still need lainchain?
@anaghashinde1200
@anaghashinde1200 22 күн бұрын
How do u make these videos???
@NLPprompter
@NLPprompter 22 күн бұрын
wow cool video, kind to go langchain some more?
@SuperCatbert
@SuperCatbert 25 күн бұрын
very good
@engenglish610
@engenglish610 24 күн бұрын
It's free to use langraph?
@konrad-carrot-manager
@konrad-carrot-manager 11 күн бұрын
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? :)
@markthien
@markthien 27 күн бұрын
how did this guy fraw on a transparent board? is this a web platform? anyone know? thanks bro!
@mao73a
@mao73a 27 күн бұрын
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.
@Minotaurus007
@Minotaurus007 23 күн бұрын
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.
@fuad471
@fuad471 25 күн бұрын
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 ?
@АндрейПонамарев-ж2г
@АндрейПонамарев-ж2г 25 күн бұрын
because you'll still need to use agent (agent classes) from langchain while building the graph
@АндрейПонамарев-ж2г
@АндрейПонамарев-ж2г 25 күн бұрын
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
@АндрейПонамарев-ж2г
@АндрейПонамарев-ж2г 25 күн бұрын
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).
@teckyap7015
@teckyap7015 16 күн бұрын
Anyone here wants to know about real world applications which are using these mentioned framework? 😅
@kevincitron2335
@kevincitron2335 26 күн бұрын
Well made vid. But. Show me some actual implementation examples.
@codewithbrogs3809
@codewithbrogs3809 13 күн бұрын
Uhhhh... that's not a correct explanation of chaining
@engenglish610
@engenglish610 24 күн бұрын
N8N seems to be a joke compared to this.
@lordlee6473
@lordlee6473 22 күн бұрын
Not a really great explanation
@tahirk9
@tahirk9 13 күн бұрын
Exactly what I was lookig for, Thanks!!
@tahirk9
@tahirk9 13 күн бұрын
Exactly what I was lookig for, Thanks!!
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