Just a tip for whoever is following along.The code, from llama_index.query_engine needs to be llama_index.core.query_engine.

@shashankshukla6691

3 ай бұрын

How did you figured that out bro ? 😮❤ Btw thanks alot

@Al_Miqdad_

3 ай бұрын

why

@shashankshukla6691

3 ай бұрын

@@Al_Miqdad_ because llama_index.query_engine doesn't works, unless you add .core

@martyallen6931

3 ай бұрын

i love you

@loggerboy9325

3 ай бұрын

@@shashankshukla6691 looked up the llama documentation

If you are running this blindly without using Tim's requirements file, please note that due to security `from llama_index.query_engine import PandasQueryEngine` is no longer the right import, try pip installing `llama-index-experimental` and then using the PandasQueryEngine class from `from llama_index.experimental.query_engine import PandasQueryEngine`. This is for py3.10. Finally, the PromptTemplate class is now at `from llama_index.core import PromptTemplate`. The documentation will really help though. Thanks Tim.

@productscience

10 күн бұрын

thank you super helpful!! :)

Guys! The llama-index package format has changed, try importing this way and it should work: from llama_index.core.query_engine import ... Like so everyone can see!

@sorrym8958

Ай бұрын

thanks

@ErdeEnterprise

27 күн бұрын

thanks

Detailed, no-nonense, topical. One of the best coding channels on youtube. Always looking forward to a new video.

This channel is a Godsend, which instilled the fundamentals of Python within me, which helped me to obtain a certification in robotics. You never cease to amaze me. 😊

thank you very much for your feedback ❤❤❤❤

5 mins into the video and I am already excited about the future!

@TechWithTim

3 ай бұрын

For sure it’s super cool!

Excellent tutorial. Its clear enough to follow and implement. Keep up your good work.

For windows if './ai/bin/activate' doesn't work then use ' ./ai/Scripts/activate' , that would do the trick^^

Amazing video ,tim ...i always wanted a fast an ld easy way to understand llamaindex...now I can build my own project fast ... Thanks a million brother

To add context in order to refer to previous response like "save the response to my notes", you can add context = " ".join([f"role: {exchange['role']} content: {exchange['content']}" for exchange in st.session_state.messages]) response = agent.query(context + " " + prompt)

@princewillinyang5993

14 күн бұрын

Could you specify a timestamp?

one of the best videos on internet regarding AI agents

This is the gold standard for this kind of coding tutorials.💯 I hope more KZreadrs would be like him. Please keep up the good work.

Tim we need more content like this or a course... and as always awesome work ❤

Tim you saved my day, you are awesome. I will write in details later how, but for now thanks for the brilliant working code

Thank you for the video. It is interesting and clear

This looks like a helpful tutorial, hope I can learn something!

Thanks for sharing Tim.

I second that, the RAG toolkit is amazing.

awesome great explanation i spended days to read the docs i know the efforts you in to generate this content, thanks

Thank you Tim.

Great tutorial Tim!

I love to see you used venv. I find it more practical than other alternatives.

Alright let's go i'll get all hyped up regardless of what will come of it Thanks Tim

Best explanation using coding , hats off bro

Very informative video!

Thanks for sharing.

Excited to experiment more.

More ai video 😊 awesome working

@TechWithTim

3 ай бұрын

Thanks very much!

Love your content❤

This is great wow ...🎉i can think of a lot of ideas now for this ...but please guys play safe on this... like wiring your complex project to the net..dev opps are very important regarding that...😅otherwise this is great...❤❤great content Tim..

Hi Tim - Thanks so much for the video. Great job!!! Would you be able to address not using OpenAI (model, agent) but rather using an open source LLMs?

Appreciate you sharing your skills, super helpful for noobs like me.

Hi Tim, Thank you for creating this video; it's really informative. Would it be possible for you to create a video on LLM that pulls data from Confluence space or pages and generates a response based on it?

So RAG stands for Really Awesome Guidance, nice.

Nice one Tim!

This is really cool stuff awesome video

@TechWithTim

3 ай бұрын

glad you liked it!

@Tim Excellent video. The reason the app wasn't able to save the note (end of video) is because you need to include chat memory / history. The llm has no view of the previous messages.

@user-ki6un6ut2g

Ай бұрын

Can you explain with code?

Great Topic! It would be awesome if you extend this example with crewai

Brilliant!

Thanks for the information @internetMadeCoder but i have a question i struggle at learning programming languages which makee it frustrating and make the process feel tiring i went online and there something when am learning from the video it seems pretty easy and but when i want to use it to try and solve maybe exercises it feels difficult and also forget of what i learnt the previous days and also how do i work on this and be able to learn better what caan u advice me to do

Your vid quality is legit what's your setup?

Thanks, Tim. I've noticed that many of the RAG examples available on KZread primarily focus on enhancing the model using PDFs, CSVs, or plain text. However, in practice, a significant portion of business data is stored in relational databases, such as Oracle or SQL Server. Could you provide an example demonstrating how RAG can be applied to data from relational databases?

@ahmadsaud3531

2 ай бұрын

Hi Tim, i am waiting for your answer please

@arnav3674

Ай бұрын

@@ahmadsaud3531 did you get the answer ?

@ahmadsaud3531

Ай бұрын

@@arnav3674 not yet

@ahmadsaud3531

Ай бұрын

@@arnav3674 not yet

Lots of Thanks in the comments section but i owe you another one, THANKS A LOT !!

not sure how long ago this was recorded but the correct import for pandasquery engine as of the latest version of llama-index is: from llama_index.core.query_engine import PandasQueryEngine

This is amazing. Can you create a next video on automation script generation and Sql query generation(for complex schema) using Rag or AI agents. ( but use open source models.)

Awesome! Hey Tim, can you tell me what theme and font are you using for vscode?

in next 5 years they can write research papers, if you just give your idea and results. this is mindblowing.

I have maybe beginner question coming, I wonder if it is possible to make and IA agent that can use both the normal model trained on his dataset, our RAG with provided data source as in this course plus internet search and compile these source in the output ?

@TechWithTim can you make a video on how do you go thorough any documentation, what is your mindset where you start, and what flow do you follow. Please and Thank you :)

great stuff, even though I had to bail on the pdf part because I got some weird stuff going on, it said I have no openai api key and stuff, battled with it for two days and figured out that the code works without that part so... no pdf for me, but everything else works fine :) I will definitely play around with llama-index more

@sonalithakur8234

3 ай бұрын

can you please tell how you build the project without open ai key?... I am facing the issue in this only

@BorisHrzenjak

3 ай бұрын

@@sonalithakur8234I didn't build it without an api_key. I removed the part of code that was meant to read pdf because it was giving me problems.

@_c_v

3 ай бұрын

Yeah same problem for me did anyone figure it out?

@mbasemhassen2947

2 ай бұрын

I think that the issue was that the function was not called in openai section so for me, the issue was model was not being used for instance in the 5 or 7 line of code in main the code which ends with input openai is not working because this is not a function which is why the model section near the end was not working so if you want this code to run that I think function needs to be defined for it

Hi man, you are the best, I wish if it was about extracting data from text or pdf and also harnessing data from agents LLM to store it in KG and make LLM query from it, all the video I watched about that were poor and not a practical solution, either they doesn't work or poor result or use paid software or don't accumulate data in the KG database with no duplicate... Man you are the one for this project, if you did it I unsure you your channel will be on fire.

Hi Tim, first of all, great tutorial! I wanted to ask you if you know if it's possible or efficient to use llama index to do RAG over 300k pages of pdfs. I've been researching and a lot of people say that I will have to fine tune the embeddings models and use one from hugging face. Also to make the results better, use metadata. However, I am wondering if using llama index is the correct approach or if I will need to create my own RAG system. Thank you for taking the time to read this.

Hi Tim... All your channel is great...! I want to create a RAG Agent but, of one website, do you if is possible? 😊

This tutorial is super helpful. Thanks Tim. I was able to get the app working. when I ask a question about canada or population, Agent is able to answer the question by looking at the PDF, CSV etc.. But when I ask a question like "what is solar eclipse", the agent is still able to answer the question. How can I prevent it from happening ? I just want answers that are available in the documents.

Great video, just one question: What would I have to do if I wanted to use open-source tools instead of the openAI API? Thanks.

Hi There, Great video. I was wondering if this same method would work but the llm was loaded in via llama instead of using openai llm?

Thanks for the great vid. i tried following along but getting too many import errors. i also tried building a new virtual env, then installed the modules from your requirements.txt mentioned in this thread, and that also now doesnt work (llama_index tries to load pkg_resources which is not found).

It doesn't save a note using the previous prompt because I think it is lost. I think you are calling a new instance of the model each time you give a new prompt. So you would have to update or append prompt outside the while loop to get it to remember the entire conversation... But I could definitely be wrong, just my intuition :P

Question : once loading a vector store , how can we output a dataset from the store to be used as a fine tuning object ?

Hey Tim, Can you make a video with mistral model locally loaded rather than using openai API key.

Nice

Can I use it with my git repos (js, ts on nodejs)? It would be great to build custom, local copilot for coding.

For me, the agent keeps using the wrong column: df[df['Country'] == 'Canada']['Population'] despite there being no column named population

Thank you for the video! Did anyone face the issue where the query engine returns only the pandas code and not the pandas output?

Makes me want to build my own AI chatbot.

in case if you see this error --ImportError: cannot import name 'OpenAI' from 'llama_index.llms' (unknown location)-- do this --from llama_index.llms.openai import OpenAI-- and for error. --ImportError: cannot import name 'note_engine' from 'note_engine' (/Users/macbookpro/AIAgent/note_engine.py)-- change this. if not os.path.exist(note_file): to this if not os.path.isfile(note_file):

@ErdeEnterprise

27 күн бұрын

Thanks

Cool video. Random question, are you ever going to move out of Canada? I know a few that have tried but there are too many hoops.

@TechWithTim

3 ай бұрын

Yes I’m currently living in Dubai

Thanks Tim, this is really informative video. Just have a question for this. In your code, the LLM model is OpenAI by default. I tried using a local LLM model such as llama (using "codellama-7b-instruct.Q8_0.gguf' loaded by LlamaCPP), and leave everything else the same as your code. But, it won't produce the desired result as your code shows. Can you have another video using a local LLM model rather than OPENAI that achieves the same functionality of Python AI Agent? Thanks in advance!

if you pass context history with the new prompt only then would it be able to save to note. Passing context history to LLM is an integral part of any RAG otherwise it looses context.

there is no query engine in my llama_index it not importing

muy buen video pregunta como hago para que la salida este en formato pandas o dict o list ?

what are your thoughts on using some of the open source LLMs for this, via Ollama?

It's really Chilly in here, what's going on ? 🤣🤣🤣 So, are you mitigating the need to have multiple agents with the idea of having 1 Agent that is using the proper tools and Data sources to provide responses? This simplifies the code quite a bit. I am not sure why you didn't create a seperate file for each engine? Also would probably allow a file picker instead of downloading the file file. Are you still going to reduce the chance of Hallucination with this approach? Thanks for Sharing..... Great presentation

I know this could sound stupid I am new to this field, but instead of giving data in pdf or csv form can we retrieve data from website?

sory for basic question. can we make it into api that can be consumed ? thanks

can i make it use microsoft access and use the features in it? like using formulas curating huge amount of data is that possible?

I think this is way easier than the Langchain framework

Hi! Tim, can i choose different llm

I wonder how we can use local LLMs like ollama or mistral using your code.

Hi guys, I encounted with the following eroor message: from llama_index import PromptTemplate ImportError: cannot import name 'PromptTemplate' from 'llama_index' (unknown location) Please advise

@stevenzusack9668

3 ай бұрын

'llama_index' should be 'llama_index.core' for both the import and the pip install. At least, that's what worked for me. So, the pip install is 'pip install llama-index.core pypdf python-dotenv pandas' and the import is 'from llama_index.core.query_engine import PandasQueryEngine'

@ryansumbele3552

Ай бұрын

@@stevenzusack9668 thank you for your response, this just worked for me

Perhaps extend this to a web based interactive chat that allows a user to choose between different LLM models like the new llama 3 vs chatgpt

i am using Azure open AI. The agent some how does not work and give "openai.NotFoundError: Error code: 404 - {'error': {'code': '404', 'message': 'Resource not found'}}". All the credentials API, endpoint, were stored in .env file. Any solution or workaround for this?

what text editor theme is he using?

Langchain or llama index, which is ideal

is this tutorial one of the RAG application also

i can't import Promptemplate from llama_index, i've searched and there is no promptemplate inside of the llama_index library

@amahdavid3476

Ай бұрын

it is in this library "from llama_index.core import PromptTemplate"

@wolfofthelight5690

Ай бұрын

from llama_index.core import PromptTemplate

@kylearnold9647

Ай бұрын

@@amahdavid3476 @wolfofthelight5690 thanks to you both!

@Lazy2cheeks

21 күн бұрын

Should be PromptTemplate not PrompTemplate

Openai free key has limit, any other free model we can use?

Is this similar to Langchain agents?

Everything is great except a few things. Idk why but the llama_index libraries used in the video has to be cahnged slightly for instance :"from llama_index.core.agent import ReActAgent" instead of "from llama_index.agent import ReActAgent", same with the prompts file ('from llama_index import PromptTemplate' won't work idk why still). Aprt from that, am I the only one who is getting error 429 and I havent used had a singel usage (according to the openai api usage page). HELP NEEDED!

@TheFeanture

2 ай бұрын

openai.RateLimitError: Error code: 429 same problems not working for me. do you found solution?

@TheFeanture

2 ай бұрын

for me. CSV file was to long. i just deleted everything after Canada. now it is working

@arshadsafi8317

2 ай бұрын

@@TheFeanture The problem was actually in the Openai account. Unforetunately when you sign up for a chat gpt account at the same time you receive that $5 free cedit. I had my account my nearly two years and it was expired (3 months limit for the $5). Solution: create a new openai account, with a new phone number.

@mikkelchristensen4237

Ай бұрын

Did you figure out what the updated version of 'from llama_index import PromptTemplate' is?

@wolfofthelight5690

Ай бұрын

@@mikkelchristensen4237 from llama_index.core import PromptTemplate

Does anyone have error with this import: import name 'PDFReader' from 'llama_index.core.readers' ?

@connorofox

Ай бұрын

"from llama_index.readers.file import PDFReader".

tim please put about LLM . what is rag how it work

How to build a Autonomous RAG LLM Agent with Function Calling that is connected with External REST API like Microsoft Graph API ? Can You make a video on this ?

How to force llamindex to answer in the same language than the question is?

how did it know to correct your typo of the word language at the end?

the installing in the terminal doesn't work on my computer

even in the .env file if i put my local. host model api is still trying to acces the openai api how can i fix it to use my local model api

@aryantiwari1945

2 ай бұрын

same

@og_23yg54

2 ай бұрын

@@aryantiwari1945 I can help you fix this issue I already fixed it use CrewAI not llamaindex

first of all, thank you so much for the wonderful tutorial, as i m doing the follow through, i kept running into “ no module named ‘dotenv’ “. but i notice that my packages are all installed into lib/python3.11/site-packages directory instead of the bin folder. so i can not proceed the next step after that. wondering where i need to adjust? 🤔

@TechWithTim

2 ай бұрын

Did you activate the virtual environment?

@PeterPan-hs5tu

2 ай бұрын

@@TechWithTim yup a little (ai) is added in front of the name inside the terminal

@TechWithTim

2 ай бұрын

try using pip and then if that doesnt work use pip3 instead@@PeterPan-hs5tu

@PeterPan-hs5tu

2 ай бұрын

@@TechWithTimyou mean when i install using pip command via terminal instead of pip3?

@PeterPan-hs5tu

2 ай бұрын

@@TechWithTimI have been using the following command in terminal “pip3 install llama-index pypdf python-dotenv pandas” and as soon as the command finished installing, the notice popped up telling me the new release of pip available: 22.3.1 -> 24.0 so i tried upgrade it it didn’t work, i have also tried not upgrade still does not work 😢

note-engine is not available what the alternative for it

Most of the comments here are due to the fact that you need to take the requirements.txt from the git repository and use it with pip install.