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
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.
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? :)
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
What a way to start a Monday. I’ve been meaning to look into this
Perfect. I was just getting started to look into langgraph and was looking for a video and this one was just perfect.
Exactly what I was lookig for, Thanks!!
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
Insightful as always 😊
Nice format, great insights! Not many ways to get that..
Can Laingraph do sequential tasks? If so why do we still need lainchain?
nice video. thank you.
Excellent video, thank you 👏
How do u make these videos???
wow cool video, kind to go langchain some more?
Amazing as always!
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.
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? :)
very good
Anyone here wants to know about real world applications which are using these mentioned framework? 😅
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.
Well made vid.
But. Show me some actual implementation examples.
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).
N8N seems to be a joke compared to this.
Uhhhh... that's not a correct explanation of chaining
Not a really great explanation
Exactly what I was lookig for, Thanks!!
Exactly what I was lookig for, Thanks!!