19 сағат бұрын
21 күн бұрын
2 ай бұрын
2 ай бұрын
2 ай бұрын
2 ай бұрын
3 ай бұрын
Пікірлер
@ahmetyusuf9964 2 күн бұрын
code ?
@TopMenMotivation 4 күн бұрын
Interesting thanks.
@ShrirangKanade 5 күн бұрын
is it how we implement a message queue? how can we clear this queue after i have done my messaging? it would be helpful if you answer.
@rajkrupz 8 күн бұрын
Thank you, may I please know how to get the exercise you mentioned at the very end?
@bhendegaa 9 күн бұрын
Here, billions of partiontions not causing issue, I did not get that point as partition key has limitation in terms of data modeling best practices where wide portions should be 100MB, other wise excessively wide partitions have a negative impact on performance and are not recommended. A partition is considered to be wide when the size is greater than 100 MB. The practical limit on the size of a partition is two billion cells, but it is not ideal to have such large partitions. The maximum partition size in Cassandra should be under 100MB and ideally less than 10MB. Application workload and its schema design haves an effect on the optimal partition value. However, a maximum of 100MB is a rule of thumb. A ‘large/wide partition’ is hence defined in the context of the standard mean and maximum values.
@spaceninja5709 11 күн бұрын
What is this and how can i learn it
@DataStaxDevs 9 күн бұрын
check out Langflow.org to learn more!
@daniel_bartosiewicz 12 күн бұрын
How do I connect Langflow to external application? I tried, it doesn't seem to work.
@merdandt 18 күн бұрын
Amaizing! Waiting for more tutorial on different use cases from you guys!
@DataStaxDevs 16 күн бұрын
Great to hear! Lots more to come!
@dix-neufsoixante961 25 күн бұрын
She's is definitely not a developer lol
@danielburgin6975 26 күн бұрын
this guy wqas born to be a presenter. Very entertaining and good at illustrating concepts
@merdandt Ай бұрын
Can we access to code of learn how to build the same thing ?
@DataStaxDevs Ай бұрын
You sure can! Check out a tutorial on our blog: www.datastax.com/blog/wikipedia-chatbot-using-astradb-langchain-and-vercel And the GitHub repo: github.com/datastax/wikichat
@RABWA333 Ай бұрын
waiting for answer to @francescoanimali9308 question: The demo are not available anymore in langflow v1.0.19. In particular the Prompt component and the Extracted Text Chunks.
@francescoanimali9308 Ай бұрын
the components used in the demo are not available anymore in langflow v1.0.19. In particular the Prompt component and the Extracted Text Chunks.
@DataStaxDevs Ай бұрын
Thanks for flagging that! We will alert the team!
@muhammadsaad3793 Ай бұрын
Amazing! Can we add more than one input file to build the Chatbot on? If so, how so?
@aaronploetz6738 Ай бұрын
Yes! You can add additional File components to your flow, and point them all to the Data Input node on the Text Splitter.
@muhammadsaad3793 Ай бұрын
@@aaronploetz6738 Thanks!!
@specialedpal Ай бұрын
This alongside your video on leveled compaction are some of the clearest, most accessible explanations of both concepts. This knowledge is useful beyond just Cassandra. Thank you!
@dabrodev Ай бұрын
I don't find chat widget html option :( where it is?
@wmrg1057 Ай бұрын
The "embedded closed caption " is extremely annoying Particularly the flashing colour changes
@DataStaxDevs Ай бұрын
Thank you for your feedback! We will remove this from future videos.
@RussFellows-TFG-Labs Ай бұрын
Perhaps some updated examples for 2024, with actual working examples? The command structure and syntax has changed since this version was released. Also, the docs on Github are not totally accurate either. To make things even worse, the "Getting Started Guide" with the first example doesn't work. That is NOT a good way to showcase your product being simple to use.
@thiagov.amorim Ай бұрын
Thanks, very straightforward
@thiagov.amorim Ай бұрын
If my $verctorize data is too big, how to split it, but keep ir related to the same "key"?
@generalhimeko2639 Ай бұрын
as for now, the katacoda site isnt up ...where else i can dive more deeper to study cassandra?
@liujustice Ай бұрын
Thank you Stefano for this informative Astra training session❤
@offgridvince Ай бұрын
Great video
@DataStaxDevs Ай бұрын
thanks for tuning in!
@TA-du6bf Ай бұрын
Could you share the github repository for the Movies++ demo?
@DataStaxDevs Ай бұрын
Here you go! github.com/datastax/movies_plus_plus
@TA-du6bf 2 ай бұрын
Can I switch to a different LLM agent such as Mistral AI?
@DataStaxDevs Ай бұрын
Yes check out the docs for using Mistral: docs.langflow.org/components-models#mistral
@Nick-tv5pu 2 ай бұрын
I like the energy guy brings
@sandroormeno 2 ай бұрын
all the links aren't working
@DataStaxDevs 2 ай бұрын
The links have been updated. Thanks for bringing to our attention!
@suhaskm5822 2 ай бұрын
Holy hell this is an amazing product!! Kudos to the Presenter man
@SMECmicrodeveloper 2 ай бұрын
Nice
@deeplearningpartnership 2 ай бұрын
Very good.
@DataStaxDevs 2 ай бұрын
Thanks! --Erick 🍻
@tejask 2 ай бұрын
Awesome explainer!
@DataStaxDevs 2 ай бұрын
Thanks! --Erick 🍻
@tejask 2 ай бұрын
Well done, David!
@DataStaxDevs 2 ай бұрын
Thanks! --Erick 🍻
@TejasKumar-o8c 2 ай бұрын
Great!
@DataStaxDevs 2 ай бұрын
Thanks! --Erick 🍻
@TejasKumar-o8c 2 ай бұрын
Very informative!
@DataStaxDevs 2 ай бұрын
Thanks! --Erick 🍻
@ghoshsanjoy 2 ай бұрын
I don't know why all the videos on this channel just hurry through the demos and don't really explain anything about the code and how to change it. All the videos do is pick a sample RAG workflow and hit play
@DataStaxDevs 2 ай бұрын
Thanks for the feedback. Have you checked out the videos on the Langflow channel? They may provide more of the in-depth coding you're looking for. www.youtube.com/@Langflow
@kalyanisrirangamnallanchak3862 2 ай бұрын
I have voucher . Please give me link where i can write exam
@DataStaxDevs 2 ай бұрын
Congratulations! See www.datastax.com/dev/certifications which has all the info you need. Good luck! -- Erick 🍻
@majdaleid6648 2 ай бұрын
Thank you :) but what is the difference if i copy the whole context of your page and asked chatgpt to generate questions with multiple answers as json and then paste it in my app ?🤔
@DataStaxDevs 2 ай бұрын
There's no way to programmatically invoke ChatGPT when a user fills a form. You could do this with OpenAI's APIs from code, but that would require learning how to code. Langflow can be used with no coding knowledge.
@majdaleid6648 2 ай бұрын
@@DataStaxDevs I am a programmer. I asked about the difference between doing it the way you did and copying the entire text from a page, pasting it manually into ChatGPT, and asking it to convert the text into a JSON file. I want to generate the JSON file once so I can implement it in my code
@n0rm4l_me 2 ай бұрын
What happened with ACID transactions actually? Can't see any mention about this feature in 5.0 release.
@DataStaxDevs 2 ай бұрын
TL;DR the code review required is huge so will be released in C* 5.1. -- Erick 🍻
@DataStaxDevs 2 ай бұрын
Handy Links for Livestream: Sign up for Astra: astra.datastax.com/signup Sign up for Langflow: astra.datastax.com/signup?type=langflow Colab GenAI: colab.research.google.com/drive/19O1MR_fvk8FoKAe_FszjKMEZDwbuR4pN Chunking Blog Post: bit.ly/3YIXCTf
@stuartrussell5587 2 ай бұрын
whats the PDF you reference?
@DataStaxDevs 2 ай бұрын
The PDF is documentation from DataStax
@touhid35rty 3 ай бұрын
Wow, this tutorial is fantastic! 🤩 The step-by-step guide on building an AI-powered quiz app with Langflow and Astra DB is incredibly clear and helpful. Can't wait to try it out and create my own AI-driven projects. Thanks for making it so accessible!
@DataStaxDevs 2 ай бұрын
Glad you found it valuable!
@gerald609 3 ай бұрын
so real conversation
@DataStaxDevs 2 ай бұрын
Thanks! --Erick 🍻
@selsoft 3 ай бұрын
useless video.
@ramojiraoyalamati4035 3 ай бұрын
I tried to replicate the same but i am getting error like :{"errors":[{"message":"Existing table not valid Data API Collection: table ('astronaut_openai_vectors') already exists and it is not a valid Data API Collection","errorCode":"EXISTING_TABLE_NOT_DATA_API_COLLECTION"}]} can you please help
@DataStaxDevs 2 ай бұрын
Sorry to hear that. If you post the details on stackoverflow.com/questions/ask?tags=cassandra, we'd be happy to help! -- Erick 🍻
@Alp0082 3 ай бұрын
Just watched the whole thing. Truly great content. @tejask, you are a great presenter and I really enjoyed how you tackled the live demo. I'm building something very similar at the moment. I'm currently using a combination of tmdb data and a list of tropes (from tvtropes) to build vectors. Reason is that it gives more information about the plot and the filmmaking aspect. That way you can even search for movies where you just vaguely remember a specific scene that stuck to your memory. I am actually creating multiple vectors because I categorize them by several categories like "plot", "mood", "place", "time" or "audience". That represents the "DNA" (as I call it) of the media and is much more accurate for tagging than having genres. Tech Stack currently is Hugchat + Weaviate. I'll try AstraDB too and compare how they perform. It's still in an early stage, but would love to get some feedback if you want to take a look (it's completely open-sourced too): goodwatch.app/ Here is a movie with DNA information: goodwatch.app/movie/862-toy-story?country=DE&language=en&tab=dna You can click on any of the tags to list similar films according to the category, for example "Mood: Heartwarming": goodwatch.app/explore/movies/mood/Heartwarming
@azharanees2333 3 ай бұрын
Very clear explanation. Thank you.
@DataStaxDevs 2 ай бұрын
Thanks for the feedback! Glad you liked it. -- Erick 🍻
@fck-bandamadji3882 3 ай бұрын
vous pouvez pratiquer en faisant un video sur ca ca sera genial
@jayeshlale1999 3 ай бұрын
Damn! How'd she know the physics wallah company? 🤯
@DataStaxDevs 2 ай бұрын
We're fans! 🍻
@maneshipocrates2264 3 ай бұрын
Great talk. Where can I get the code on github, maybe? Thanks
@DataStaxDevs 2 ай бұрын
Hi @maneshipocrates2264 Here are some handy links to help you follow along: Sign up for Astra: astra.datastax.com/signup Sign up for Langflow: astra.datastax.com/signup?type=langflow Colab GenAI: colab.research.google.com/drive/19O1MR_fvk8FoKAe_FszjKMEZDwbuR4pN Chunking Blog Post: bit.ly/3YIXCTf
@ptanisaro 3 ай бұрын
Cool! Thank you for sharing!
@전승환-h4b 3 ай бұрын
Thank you for sharing a good tutorial. I have a quick question. Some items in nodes are different in my Langflow such as 'Data' instead of 'Record' in the Chunk node and it goes into 'Ingest Data' instead of inputs... Plus, it alarms that the data type is not supported even though I put *.txt, *.sql and so on. Could you please tell me how to fix this?
@DataStaxDevs 2 ай бұрын
We'd be happy to help! Please post the details on stackoverflow.com/questions/ask?tags=cassandra -- Erick 🍻
@aaronploetz6738 2 ай бұрын
Yes, Langflow has certainly changed quite a bit over the last few months. I don't know if the file input will allow a wildcard like "*.txt" TBH. To see how to put this together with the newer version(s) of Langflow, create a new project and select "Vector Store RAG" as a template. That provides basically the same functionality as to what I build in this video, but with the newer components.