ADVANCED Python AI Agent Tutorial

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ADVANCED Python AI Agent Tutorial - Using RAG

Рет қаралды 135,941

Күн бұрын

In this video, I will be showing you how to create an artificial intelligence agent that will be able to use all of the tools that we provide it with. That's right, we will create and AI agent & give it various tools for it to use selectively based on the task at hand.
Note: This video refers to llamaindex version 0.9. On Feb 12th, 2024 llamaindex version 0.10 was released which is mostly the same but has some added functionality :)
🎞 Video Resources 🎞
Check out Llama Index: www.llamaindex...
Llama Index Docs: docs.llamainde...
Population Dataset: www.kaggle.com...
Llama Hub: llamahub.ai/
Code in this video: github.com/tec...
⏳ Timestamps ⏳
00:00 | Overview
00:27 | Project Demos
03:54 | Understanding Agents & RAG
06:29 | Installation/Setup
09:00 | Data Sources
13:18 | Querying Pandas Data
19:17 | Building Agent Capabilities
29:18 | Querying Unstructured Data
39:38 | Next Steps
Hashtags
#PythonAI
#TechWithTim
#AICoding

Пікірлер: 254

@loggerboy9325 6 ай бұрын

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

@shashankshukla6691 6 ай бұрын

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

@Al_Miqdad_ 6 ай бұрын

why

@shashankshukla6691 6 ай бұрын

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

@martyallen6931 6 ай бұрын

i love you

@loggerboy9325 6 ай бұрын

@@shashankshukla6691 looked up the llama documentation

@sadiqkhawaja7019 5 ай бұрын

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

@hypo30cal 3 ай бұрын

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 2 ай бұрын

thank you super helpful!! :)

@ReDoG129 5 ай бұрын

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. 😊

@josephabuo6027 6 ай бұрын

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

@TechWithTim 6 ай бұрын

For sure it’s super cool!

@philippechassany7279 5 ай бұрын

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 3 ай бұрын

Could you specify a timestamp?

@myanghua 5 ай бұрын

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

@adds5257 Ай бұрын

Very cool. More tutorial on llama usage. This tool will help researchers to manage knowledge. If it can also store image and generate image as answer based on the query's context then it will be more useful. It can be used to build personal library and digital librarian

@yuvrajkukreja1248 6 ай бұрын

More ai video 😊 awesome working

@TechWithTim 6 ай бұрын

Thanks very much!

@omghosal3301 5 ай бұрын

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

@bilalmohammed717 2 ай бұрын

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

@mushinart 6 ай бұрын

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

@Al_Miqdad_ 6 ай бұрын

thank you very much for your feedback ❤❤❤❤

@amanaggarwal4061 5 ай бұрын

one of the best videos on internet regarding AI agents

@user-kw4ph2cz8q 3 ай бұрын

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..

@myslates2854 5 ай бұрын

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

@krishnak3532 5 ай бұрын

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

@pottoker612 3 ай бұрын

tim is on the rag....

@suryapratap3622 4 ай бұрын

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

@prakhars962 6 ай бұрын

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

@srinivasguptha9538 5 ай бұрын

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

@stephenbonifacio3846 5 ай бұрын

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

@ayanjawaid2251 6 ай бұрын

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

@leonvanzyl 5 ай бұрын

@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 4 ай бұрын

Can you explain with code?

@LeonardoGomez-lk5ei 5 ай бұрын

I second that, the RAG toolkit is amazing.

@ahmadsaud3531 6 ай бұрын

Thanks, Tim. I've noticed that many of the RAG examples available on KZfaq 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 5 ай бұрын

Hi Tim, i am waiting for your answer please

@arnav3674 4 ай бұрын

@@ahmadsaud3531 did you get the answer ?

@ahmadsaud3531 4 ай бұрын

@@arnav3674 not yet

@ahmadsaud3531 4 ай бұрын

@@arnav3674 not yet

@user-ki6un6ut2g 4 ай бұрын

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

@seanh1591 5 ай бұрын

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?

@inocentesantiago3194 5 ай бұрын

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

@AaronGayah-dr8lu 2 ай бұрын

This is brilliant. Thank you.

@pauloseixas5452 6 ай бұрын

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

@mahmoudabuzamel7038 3 ай бұрын

Great tutorial Tim!

@rodrigogazcon506 5 ай бұрын

Thanks for sharing Tim.

@user-rf5qx4uq1f Күн бұрын

Good vid, needs to be updated, Llama index changing

@PedorEmilo 5 ай бұрын

So RAG stands for Really Awesome Guidance, nice.

@BorisHrzenjak 5 ай бұрын

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 5 ай бұрын

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

@BorisHrzenjak 5 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 5 ай бұрын

Yeah same problem for me did anyone figure it out?

@mbasemhassen2947 5 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

@TanzerTel 5 ай бұрын

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 3 ай бұрын

Thanks

@lehaiche 6 ай бұрын

Thank you for the video. It is interesting and clear

@khalifarmili1256 3 ай бұрын

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

@malikanaser8251 3 ай бұрын

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.

@saravanannatarajan6515 5 ай бұрын

Best explanation using coding , hats off bro

@mariamanuel2795 5 ай бұрын

Very informative video!

@egericke123 4 ай бұрын

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

@user-op1ru7nx9j 5 ай бұрын

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

@AbelMartinez-xb3gl 5 ай бұрын

Excited to experiment more.

@dimox115x9 2 ай бұрын

I did pip install llama-index-experimental so many times and also the upgrade version. I did ' from llama_index.experimental.query_engine import PandasQueryEngine ' and it says ' no module name llama_index.experimental '. Everything sound good but that part doesn't work, anyone? Weird, plz anyone ?

@vrajmalvi7194 4 ай бұрын

@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 :)

@brandonhernandezvillantes2937 5 ай бұрын

Nice one Tim!

@user-ez9st6xt1h 5 ай бұрын

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.)

@saisreekarsunku9022 3 ай бұрын

there is no query engine in my llama_index it not importing

@akhilpadmanaban3242 2 ай бұрын

exactly. Did you solve this isse? I am also facing the same thing

@DanielTobi00 Ай бұрын

@@akhilpadmanaban3242 change in api, it is now pip install llama-index llama-index-experimental from llama_index.experimental.query_engine import PandasQueryEngine

@juanbetancourt5106 6 ай бұрын

Thank you Tim.

@SivaMahadevan-ny7vm 4 ай бұрын

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.

@damianaguila7841 5 ай бұрын

Thanks for sharing.

@chymoney1 5 ай бұрын

This is really cool stuff awesome video

@TechWithTim 5 ай бұрын

glad you liked it!

@spotnuru83 2 ай бұрын

is there a way to do this without openAI because if we want to use it at enterprise level, giving data to openAI is not secure. can we use any open source llms and acheive the same?

@andewwayne7751 12 күн бұрын

Great video, but llamaindex did some major changes. Hence, the import statements as represented in the video and download files are incorrect. It is taking some time to figure out the new structure of llamaindex. Does any way have the new import/from statements that llama index now uses?

@enkhbaatardorjsuren9427 5 ай бұрын

Brilliant!

@JoseSalerno-pf5ph Ай бұрын

Hey Tim! Is there a way to do this without using an API Key? awesome video, they are really helpful!

@theuser810 4 ай бұрын

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

@kayodedaniel6174 6 ай бұрын

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

@harmansavla7510 6 ай бұрын

Love your content❤

@ignaciopincheira23 Ай бұрын

Hi, could you convert complex PDF documents (with graphics and tables) into an easily readable text format, such as Markdown? The input file would be a PDF and the output file would be a text file (.txt).

@valkyrchesa 10 күн бұрын

Thanks for the video. Can this be done without llama-index and openai? like using the AI on your local PC

@AndyPandy-ni1io 2 ай бұрын

The error message "FileNotFoundError: [Errno 2] No such file or directory: '...config_sentence_transformers.json'" means that the llama_index library is trying to load the specified embedding model ("BAAI/bge-m3") from your local machine, but it can't find the necessary configuration file.

@sdkfeldfwerer6751 4 ай бұрын

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

@cclementson1986 3 ай бұрын

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

@Blimaxx 2 ай бұрын

So freaking good

@vdzneladze1 6 ай бұрын

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 6 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 4 ай бұрын

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

@jmsolorzano13 2 ай бұрын

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

@zengxuezhi 2 ай бұрын

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!

@SolidBuildersInc 2 ай бұрын

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

@swetarajan1781 5 ай бұрын

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

@pntra1220 5 ай бұрын

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.

@neilpayne8244 5 ай бұрын

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).

@tylerpeterson420 6 ай бұрын

Your vid quality is legit what's your setup?

@malekmot 6 ай бұрын

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

@tinellixavier8022 6 ай бұрын

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 ?

@mallunightmares5845 4 ай бұрын

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 ?

@ANG747 5 ай бұрын

Makes me want to build my own AI chatbot.

@user-fp2yd4wj9o 6 ай бұрын

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.

@arshadsafi8317 5 ай бұрын

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 5 ай бұрын

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

@TheFeanture 5 ай бұрын

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

@arshadsafi8317 5 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 4 ай бұрын

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

@wolfofthelight5690 4 ай бұрын

@@mikkelchristensen4237 from llama_index.core import PromptTemplate

@xspydazx 3 ай бұрын

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

@varungonsalves6249 5 ай бұрын

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?

@bhasadish 5 ай бұрын

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.

@madhudson1 3 ай бұрын

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

@rohithdon2621 3 ай бұрын

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

@AlalUddin24 6 ай бұрын

Nice

@mejia414 5 ай бұрын

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

@WeirdoPlays Ай бұрын

What if ee wnt to use existing index from vectordabases

@shillowcollins6392 5 ай бұрын

I think this is way easier than the Langchain framework

@Hello_-_-_-_ 5 ай бұрын

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 5 ай бұрын

Yes I’m currently living in Dubai

@user-wf5er3eo8v 5 ай бұрын

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?

@mr_e_forex 6 ай бұрын

Tech with Tim, can you please make something for the forex traders please

@pauloseixas5452 6 ай бұрын

thank god you still aware of the fundamental importance of being free(only by being free can a poor, loser like me can dream of becoming a coder just before rotting completely)

@cematilkan8553 5 ай бұрын

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

@OsvaldoNava-cz8iz 5 ай бұрын

Let me know if you ever need a volunteer for any future projects.

@Laxobigging 5 ай бұрын

Why is it that every time I try to follow a video in vscode using python, there is always some bullshit I encounter during the install process which takes 30 minutes to try and figure out the answer to? Is coding always this ridiculous?