LangChain explained - The hottest new Python framework

[@DanielTorres-gd2uf]

This is crazy. Imagine an LLM building it's own lang chain recursive environment... Also very useful. Wow, what a time to be alive!

[@AssemblyAI]

Indeed!

[@JorgetePanete]

its*

[@DanielTorres-gd2uf]

@@JorgetePanete that's how you know I'm human ;)

[@JorgetePanete]

@@DanielTorres-gd2uf ChatGPT, please write your responses with typos

[@crowlsyong]

What a time to be alive!

[@AsfandSaleem]

Although the field is still emerging and may not have concrete use cases yet, showcasing some awesome real-world applications could really help highlight the potential of the technology!

[@MaximoPower2024]

A good initial project would be something simple but measurable, such as increasing the production of paperclips, in a consistent way.

[@celestialgamer360]

I was quite stuck in langchain how to use it efficiently even though i have knowledge i was not leveraging it efficiently, thanks to you i got idea now how to use it effectively and efficiently for my projects thanks a lot man...

[@Blooper1980]

Thanks for this.. it was a bit complicated to even get started but your video I think made it easy to get the basics right.

[@BrandonFoltz]

Great overview. A little slower would be helpful (at least for me). It would be good to have time to read what is presented on screen while it is explained. Subbed!

[@luis96xd]

Wow, this is such an amazing summary and explanation, I really wanted to know what is long chain and get a shot of how it works, thank you so much 💯

[@kvsubbaiahsetty9834]

I started with Langchain docs to learn, wrong way! I should have started with this video, could have saved couple of days

[@muhammadmursalin8915]

Thank, small and brief video about LangChain.🥀💐

[@hussamcheema]

Hi there. Please make a complete tutorial series on LangChain library.

[@mertozlutiras]

Brief and great summary. Thank you!

[@thiagoleobons390]

i have seen many videos of ppl explaining what langchain is and how its megapowerful but never one where they actually implement something that shows off those mega powers

[@yashmagarwal2715]

Would love to see an implementation video on python!

[@7Trident3]

Great overview, keep up the work.

[@KumR]

Thanks for this but I have a question. How does langchain connect to a legacy database like Oracle or Great Plains?

[@albertkwan4261]

I like the clear, conciseness, cadence of your presentation a lot!

[@MasterSergius]

Oh gods, I can imagine new job requirements for junior - 5 years with langchain

[@r.s.e.9846]

Thanks for the explanation.

[@MrSuperGerald]

What are the advantages over the Haystack framework? They both seem to have similar capabilities

[@learnerboy2247]

Why not directly go for chat gpt or Gemini API'S ?

[@indrazm]

It's about to make an abstraction to ease your LLM pipeline. When building app with AI its not always just calling the LLM directly. Sometimes we need to create pipeline like indexing, transforming, and so.

[@MrAmad3us]

This stuff is moving faster than anticipated.

[@da-bb2up]

Thx for the video :) can you update your vector database by a few lines ( if you want to add data to your knowledge base) automatically by running a python script or something like that?

[@aleynaaltunsu5769]

most useful video ever

[@sujoyroy3157]

Please provide a concrete example of a use case. Is the value add about providing APIs for getting response from different sources and combining them, using your own logic?

[@kumarsaurabh6256]

How does it compare with Haystack?

[@ranjaniselvaraj4755]

Thansks for the information. A little bit slower would be recommended (alteast for me).

[@MuhammadFaizanMumtaz3]

Your voice is magic

[@jordymaryns4945]

I didn't even know LangChain was Python

[@DotnetDummies]

Very useful

[@chikosan99]

Thanks a lot! great !

[@Superdooperhero]

More technical in depth coding of something complete and awesome would be nice.

[@Superdooperhero]

Would only be interested if it can do free locally hosted LLMs, etc.

[@shreeltrivedi5310]

Thanks!

[@deep.space.12]

LLM: The new Javascript ecosystem.

[@drgutman]

Do a langflow tutorial for local llms. (langchain is cool but without a interface is too niche)

[@__________________________6910]

Yes

[@smarter2245]

Guten tag !

[@qazizarifulislam6568]

Chat GTP ah yes

[@salmansayeed79]

Great!

[@loopuleasa]

cheers

[@moo_goo]

... sure wish i knew about this before i made my own lesser version of that lol

[@quantumbyte-studios]

Why would you not use this?

[@DamirSecki]

AutoGPT looks much more crazier and has way more traction in just 2 weeks! 76k stars already!

[@anispinner]

Comparing apples and oranges I see.

[@user-wr4yl7tx3w]

why is it called Indexes? shouldn't it be called loader?

[@AssemblyAI]

Indexes is the larger module that includes many utilitiy functions. DocumentLoaders are one of those utilities that are included in the Indexes module, but there are more

[@DamirSecki]

@@AssemblyAI why is not indicies? ;)

[@NoScrewsLoose]

AI is the new gold rush

[@ericchastain1863]

I don't know I'm still working on my security sets of bridges around my active apis since dec of 2021. And now I daily add more. Yet my security passwords are at over 100 digit prime numbers. That get ∆π^Tan and it's like I get completely banned from Reddit whole thread. And I'm only trying to be open source and spread security.

[@kinart243]

Wtf, do python is becoming gangsta? 😂😂😂

[@bonquaviusdingle5720]

Doesn’t support Vespa which is a big letdown. it’s okay but overall it’s a bit over engineered

[@sakthiveltut]

Tell me Python webscraping file hosting free websites

[@joeovip]

😮🤔

[@_XY_]

Matrix Chain

[@cybrd230]

Its gpt not gtp

[@NickWindham]

Indexes or Indices? 😉

[@shreehari2589]

Both are valid

[@DamirSecki]

Indicies

[@MaiThanh-om5nm]

Start with a WHY you need this framework, not what it can offer.

[@werewolfprogrammer]

Hi, I am trying to start a youtube channel to make tutorial videos about data science related topics. I want to make the videos about things that are less popular but still important, since I found that it can be quite difficult to start off with these things since most information is in difficult to comprehend papers. My starting point will be social network analysis and natural language processing as that is my main interest and expertise. However, I am interested in finding more topics so I am starting by doing research on different channels that make tutorials for data science, AI, machine learning, statistics, natural language processing, graph theory or network analysis. So for anybody in the comments that reads this message, could you help me out by replying with any youtube creators that do something related to these topics, or any other digital platform like Brilliant. If you know a topic that is similar to the ones I mentioned that would also be a great thing to share. Or if you know of better places to share this message. Or any other helpfull tips. Thanks everybody for the help. If this message is regarded as spam also please say so and I will remove it. The topics again: -data science -AI -machine learning -statistics -natural language processing -graph theory -network analysis

[@MikhailTalalaevskiy]

Chat GTP

[@UNMEASURED100]

I wanna ho yea

[@thierrylechevillier7221]

Too fast explanations for me. My brain can't assimilate that complexity at this rythm. I will not subscribe.