I watched this video a few months ago and I'm revisiting this idea of Q&A with an LLM. Did you touch on anything regarding safety of the database? What's to stop a user from prompt injecting to delete or modify tables either intentionally or by accident?

hi farzad i want to asked one question can i use my own database data in this without changing changing the code??

Thank you for the video The code doesn’t work for a .bacpac file. How can I convert a .bacpac file to a .sqlite ?

Hi sir, can this code work with paralely multiple users

I really loved the way you explain with implementation in detail.. I'm looking for my career transition and your videos are helpful. Thank you

Hi! Firstly, Great video. But I'm facing many issues in converting the code from AzureOpenAI to OpenAI API implementation. Could you please provide the OpenAI API implementation of the same codes. Please help me with this.

Which notebook are you using

Hi Farzad, you really did great work, and I highly appreciate your efforts. I have one question: can I use my own personal data to chat and interact with the database? Also, can I use a different database as well, or not? I’d appreciate it if you could let me know! Thanks.

Hi, I am trying use only strategy A of this video and then final step and when I am calling full_chain.invoke it shows key error and when I use strategy C it does not show error. I have to do this for my code to do it with strategy A def extract_table_names(response): return [table.name for table in response] My question the code that you have written and that code is also on langchain documentation. So why my code is not working without it. Is it because of the region that the dependency has changed. drive.google.com/drive/folders/18JaGJgpl9CS1ACRGTCHARbfTsal2gCZQ?usp=sharing db.run(query) is showing for both strategies A and C. I have share the code and I am not sure why this is happening because I downloaded wrong chinook SQL file.

Great tutorial. I have a question: Can I learn and run all your projects without openai api key?

hello Farzad , say I am working on a domain which has 100+ tables and relationships , which approach is better, 1. combining text-sql + RAG+ sql agents 2. combining text-sql + knowledge graph

which section in video are u explaining fine-tuning model. (training question to expected sql query)

Hi Farzad. Thanks for this video. I just want to ask if this is the video you’re referring to in your Github “LangGraph_1o1_Agentic_Customer_Support”? The YT link in the README doesn’t work. Thanks

Super Helpful Video, Thank you. While you used SQLite db here, can this be scalable with other databases? like MSSQL? I am trying to create an Agent with MsSQL ( by restoring Adventure Works DB .BAK file) but langchain does not read all the tables from MsSQL.

how can this be built using llama?

Hi Farzad, Could you please explain how the primary agent decides which sub agent to call (RAG, SQL Agent, WEbsite agent)?

Hi there. It looks like there is no code to load data to travel.sqlite db. I ran your notebook and it throws error "no such table: aircrafts_data". can you guide me to get some sample data loaded

So why are agents better?

Is it possible to use large databases with LLMs, or will the token limit be exceeded?

Hello sir, Could you please add the way to integrate it in multiple website and also talk about load balancing while present the concurrent users at once.

Hello. While following along with your video, I tried running the code, but I encountered an error: “Number of image tokens in input_ids (251) different from num_images (1).” The training isn’t progressing. Do you know how to resolve this? I would appreciate it if you could help me. Thank you

ConnectError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: self-signed certificate in certificate chain (_ssl.c:1000) How to solve these errors

Hi Farzad , can you please tell me how can i get plot of different chart from the response like pie chart, barplot etc. Or can you make a upgraded video of this adding this plotting features??

I want to connect to a database where the tables are via schema named such as TRD.Contract that table that saved contracts in database and also my database is very large and dont have good structure for example name of tables and name of columns dont define correctly the databse is very old and it work for several year and have very data so i must be define sqlagent. please help me that i how define my sql agent for my project that give best result and response and that know my tables and relations in my database.Considering that there is a limit in sending tokens and prompts.thank you

A good definition on agent based LLM process and RAG based LLM one. Thanks for the sharing.

First video I have ever seen that actually breaks down the abstraction levels into things you can understand! Great tutorial

Good info. I wish yt didn't make it such a pain to find actual useful videos like this one.

Hi Farzad, in your opinion which is the best agentic framework when it comes to production, langraph, crewai or autogen???

i was looking thru the repository cannot find the file for this one

Great. gonna implement it myself!

I’ve learned a lot, very useful and I’m using it. How are the thumbs up/down used by the system?

1:32:00 very good, thanks. Can this setup able to find something from db and search web according to the output of that query? Or you need to alter the code to do sı?

44:05 what is the best open source / free embedding model than openai embedding model? I think open ai is not free?

14:07 thanks what if i want to seek from a db but with how to say, use it for similar data in that db so that not regular sql but some interpretion like cleaning or searching these as well, using llm

Hi Bro, great video love your explanation. Could you also tell us how to evaluate our pipeline and results. Basically how many correct answer we are genrating

Can i do this without open ai, can we do this with langchain and Groq? Using chatgroq??

Hello Farzad , thanks for the video. I m working on a use case where I want to use the database which have almost 10+ different table and each table have almost 111+ lac rows in it which a large database and it is in aws redshift cloud db. So can i use the same logic here or do I need to do any vectorization/embedding logic ?

Hi sir, can you give a guide on how to export to excel the result of the sql query, and another question i have a test data where i have student name,age etc if i say give me the students with age under 18, i get just and example(5 to 10 student) of that not the full result of the query(i have 45 students under 18) , i try set the top_k=1000 but its not workin

Hi sir, pls reply if we have multiple users and should have different session fir each user can it be achieved by changing tread id dynamically for each user?

In this series you've used OpenAI API throughout, but i want to use an open source LLM like Llama 3.2 , would it give me the results like OpenAi ApI? Or similar to these?

I'm working with highly sensitive data what if I don't want to use get models

Merci Farzad jan.

Outstanding! Best of its kind :)

Awesome video!! What would be the best way to combine both SQL agent and RAG approach? E.g. the user just ask a question, and there will be a mid layer or another agent to determine if it should pass the question to SQL agent or just go to query Vector DB using RAG, or use both to get the final answer. A video on it would be super interested

Hello, May I ask your help to place the link of the previous video with the SQL agent that was mentioned at the beginning? Many thanks!

Hi, great video as usual. I'm on the open source side of the world, and I would like to try Vanna. Did you have a look at it?

Thank you Farzad for Great Video. I'm building bot on realtime manufacturing data for finding information & root causes. I should use only SQL agent or RAG also & do schema alone sufficient for answering complex queries? because there will n number of checklist for each root cause. It will be helpful for me if you suggest. Thanks once again.

Farzad, I can only say that thank you for all your content

Hi sir, We have 10+ db and 500+ tables and want to build the bot for that does your tutorial work for that if not ? Than sir can tou please guide how i can do that .

Thank you for the amazing video. Learnt a lot. QQ: Since I cannot use out of the box chat models, I created a CustomChatModel class following Langchain documentation by inheriting BaseChatModel Class. I'm struggling to add the bind_tools method to my customchatmodel class. Any help or thoughts will be great :) Thanks in advance.