What if someone ask questions unrelated to data ? Guide please
@FutureSmartAI4 сағат бұрын
In Prompt you can mentioned that if question cant be answered with retried data or context simply say I dont know. You can also use router prompt that will decide whether question is relevant or not before doing Nl2SQL
@AmruthSrinivas22 сағат бұрын
but these tables do not understand the relationships between the 2 tables like the foreign keys and all , they are just going to answer the direct question on a particular table
@FutureSmartAI4 сағат бұрын
It works will with table relationships since we are giving it schema and it has all required info
@Pratik345-b1yКүн бұрын
Great One !!
@niii5715Күн бұрын
Great tutorial 😃
@juidutta3005Күн бұрын
Thanks for this video
@Kk-ed1grКүн бұрын
Can you explore more of the multi-agent or is there any way that you can explore into dynamically creating of AI Agents at run time to dive deeper into LLM chats as prompts into sub AI agents etc.
@duetplay45512 күн бұрын
Nothing...Just log in to say "Merry Christmas and Happy New Year!" to Professor Pradip and other "classmates"🥳
@FutureSmartAI4 сағат бұрын
Merry Christmas and Happy New Year to you too!
@Pratik345-b1y3 күн бұрын
Hello - Do you provide paid mentorship on top mate ? or any platform - need some guidance one weekly basis
@devangtyagi27884 күн бұрын
Awesome!! the video is very helpful today I build this project myself, keep up the good work man👍
@tournas625 күн бұрын
I am enjoying so much your work...Much respect from me, and thank you for the knowledge you give for free... I would suggest investing in a good microphone for a much better quality.
@FutureSmartAI3 күн бұрын
Noted
@shubhamdixit34158 күн бұрын
Please can you explain how to deploy this? How did you run this streamlit application?
@FutureSmartAI6 күн бұрын
Hi I have other videos covering deployment of streamlit and fastapi. you can run streamlit app `streamlit file_name.py` kzbin.info/www/bejne/b2GXlIpvoa9qgrMsi=SEjP9jGTgwvz-j_8 kzbin.info/www/bejne/bXe5gaFoatKge7Msi=2J5wbDIXwrkQzrIf
@Langflow11 күн бұрын
Great tutorial Pradip!
@DaddyPhatTats14 күн бұрын
First off, thank you for this up-to-date easy to follow tutorial. I was wondering how to increase the file limit size. I get an error: Document size limitation violated. Any help would be appreciated.
@mrzamin914 күн бұрын
What are the ways to deploy? I'd like to embed my langflow in my external next.js app.
@mrzamin914 күн бұрын
What are some ways to deploy? I'd like to embed my langflow in my external app.
@DaddyPhatTats14 күн бұрын
Make sure you're in Langflow > my projects > select the 3 dots on the right side of the project you wish to export > select download > Langflow will export in Json format
@nissarahmed988715 күн бұрын
Would this work on a database which has 100's of tables?
@FutureSmartAI14 күн бұрын
Yes we need to implement dyamic table selection. check this video kzbin.info/www/bejne/nKTWZ3aooraIaLssi=2OPVJczgrF3UPy71
@nissarahmed988714 күн бұрын
@FutureSmartAI Thank you
@assafetn15 күн бұрын
Hi' great video thanks so much! When adding an LLM component to langflow, I would like the LLM to also search the WEB (similar to the chatGPT offers today). How can I achieve my answer to the user to include info from the web? Thanks!
@DaddyPhatTats14 күн бұрын
Hey, go to AstraDB > components column on the right > Data > drag and drop URL into the configuration > enter the URL of the website you wish to include
@assafetn13 күн бұрын
@@DaddyPhatTats thanks but i didnt mean a URL, want the LLM to search the web for every question asked.
@FutureSmartAI12 күн бұрын
Did you try using `Tavily AI Search Tool `
@hamzamarwat433716 күн бұрын
Can I use Llama 3.1 instead of openai, and follow the same pipeline. By the way nice video, everything is explained very well.
@FutureSmartAI14 күн бұрын
Yes, since we are using langchain we can easily switch to other models
@hamzabinumar9109 күн бұрын
@@FutureSmartAI I tried this approach, unfortunately I only have access to the Meta-llama 3.1 8b. And that LLM can only understand the basics, it hallucinates if for queries in which two or more conditions are involved. I have used the same approach as yours for my project. Could you guide me on the approach for this. If you are comfortable with sharing your email for contact, that would be best, but if you could just guide me here, that would also do. TIA
@sangeethag974916 күн бұрын
Thank you so much Sir. Please create videos on integrating langflow. Thank you !!!
@FutureSmartAI14 күн бұрын
Noted
@HasanMoni-q2g17 күн бұрын
Awesome tutorial. please go depth for AI multi Agent Application
@aeration19817 күн бұрын
Thanks for the content. Is it possible for you to activate the audio tracks on your old videos ?
@FutureSmartAI14 күн бұрын
Thanks for your comment! Could you let me know which specific videos you’re referring to? If there’s an issue with the audio, I’ll look into it and try to resolve it.
@aeration19814 күн бұрын
@@FutureSmartAI No, there's no problem. I watch your videos with French audio translation, but only this one offers this feature. Could you activate the audio translation on older videos, such as the Langchain RAG course?
@FutureSmartAI14 күн бұрын
@@aeration198 Thanks let me check. I guess its done by KZbin automatically.
@mrshits814317 күн бұрын
This was made by someone in a basement, using AI
@mohitmourya999718 күн бұрын
Great video! I have one question, which one is better this approach or SQL Database Agents one? I'm developing a generic solution that takes in a SQL DB and generate insights based on user query
@FutureSmartAI17 күн бұрын
I found this approach more flexible to make changes. But you should start with sql agent and see if it works out of the box for you
@UmarFarooq-qj6qm18 күн бұрын
this video is now old plz make the same knid of video according to latest market in data science and NLP
@FutureSmartAI17 күн бұрын
Sure
@MuhammadKabirAhmad-kz6pc20 күн бұрын
Great Job Buddy!
@GuaravBansal-l2y22 күн бұрын
This is best production level RAG code. That is what I was looking for.
@iamsatyajit96322 күн бұрын
Best explanation and the code walkthrough is amazing. Bdw, where can i get the documentsthat you have used in the code?
@FutureSmartAI20 күн бұрын
Link in the description that has code and docs
@Pratik345-b1y25 күн бұрын
Can you create an course or a complete playlist to follow to Gen AI - end to end till deployment ?
@FutureSmartAI17 күн бұрын
I do have multiple videos covering all aspects but no single video or course
@kk00825 күн бұрын
how to evaluate to built RAG application?
@yuvarajareddy53525 күн бұрын
Bro, i wish i saw your channel before, i found everything which i wanted to learn from so long. Please keep making more videos.
@FutureSmartAI24 күн бұрын
More to come!
@shreyasbs286127 күн бұрын
Excellent text to sql project..thanks a lot
@sanketkurle225128 күн бұрын
❤❤
@bhaveshxrawat28 күн бұрын
19:47
@techwithsaketh29 күн бұрын
Great video brother 👏.
@FutureSmartAI25 күн бұрын
Thanks 👍
@FutureSmartAI29 күн бұрын
Check Latest RAG Video : kzbin.info/www/bejne/aWnEfoeOjpeoqbc
@vivekshindeVivekShindeАй бұрын
You are amazing. Please continue this series. You are addressing important production related issues like conversational memory and session ids, which is hard to find anywhere else. Thanks a lot.
@FutureSmartAI29 күн бұрын
Thank you, I will
@vivekshindeVivekShindeАй бұрын
Much needed. What an explanation. Thanks a lot 🙌🏻
@FutureSmartAI29 күн бұрын
Glad it was helpful!
@boldbideveloperАй бұрын
What if I want output in Charts or Tables, please help me in this.
@FutureSmartAI29 күн бұрын
We will create video on that
@MMSakhoАй бұрын
Hi, thanks for the tutorial. I have a question, did openai give additional cost (beside finetuning cost) for inference? And is there a cost for storage to save the finetuned model?
@FutureSmartAI25 күн бұрын
Yes there is inference cost similar to how we pay for other models. There is no storage cost
@김문수-i3pАй бұрын
Thank you for your lecture youtube
@RajatKUMARNayak-ce6kiАй бұрын
you should sahre the github Repo as well
@FutureSmartAIАй бұрын
yes check link in description
@chandanha9532Ай бұрын
Nice Explanation Sir...
@Pratik345-b1yАй бұрын
Can we feed the customer service queries as input ? Like : Customer question : What do you sell ?, Agent Answer : XYZ ?
@FutureSmartAIАй бұрын
Yes. check my latest RAG tutorial
@Pratik345-b1yАй бұрын
@@FutureSmartAI Sure, your channel is fantastic man !! It's best of all, theory + practical. Why don't you create a end to end course on Gen AI ?
@sanketkurle2251Ай бұрын
❤❤
@ramyashreekeshavamurthyАй бұрын
Great content, by the way; really easy to understand if you have the basic knowledge. I am trying to do a similar chatbot model using the Vertex AI - Gemini flash model, but I am unable to connect to the local host and run on my terminal. Any idea how can I solve it?
@FutureSmartAI29 күн бұрын
I havent tried Vertext AI yet. Check my latest RAG tutorial kzbin.info/www/bejne/aWnEfoeOjpeoqbc
@tusharsethi2801Ай бұрын
One of the best videos on RAG. very simple coding which is highly appreciated. No use of buzz words. Also a small request if you could use any opensource LLM instead of OpenAI and directly load in the memory using python and hugging face library, it would be very helpful
@FutureSmartAIАй бұрын
Noted
@user-ps9mk3pi7oАй бұрын
Looking for memory management thanks for sharing
@FutureSmartAI29 күн бұрын
check my latest tutorial here memory managment discussed kzbin.info/www/bejne/aWnEfoeOjpeoqbc
@lithinullal8756Ай бұрын
great video! can you share the code used?
@FutureSmartAIАй бұрын
In the description
@Rakesh_SeerlaАй бұрын
open ai api key limit exceed when ever i have used that it shows the same 😮💨
@19saikalyan84Ай бұрын
is this possible to do without an api key, by using the downloaded llama model through hugging face?