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Total Technology Zonne
Индия
Добавлен 5 окт 2012
Total Technology is my attempt to teach IT and related technologies to people in quick time which took me ages to learn.
Here, I provide a simple and hands on demo along with source code of anything and everything I teach. Source code and other resources are hosted on GitHub, I provide source code(if any) in the description of every video.
Business enquiries: thetotaltechnology@gmail.com
Here, I provide a simple and hands on demo along with source code of anything and everything I teach. Source code and other resources are hosted on GitHub, I provide source code(if any) in the description of every video.
Business enquiries: thetotaltechnology@gmail.com
LangChain Complete Tutorial ,Part :1
LangChain is a versatile framework designed to help developers build advanced applications that leverage large language models (LLMs). It simplifies the process of creating complex workflows by chaining together different tasks, such as calling language models, interacting with APIs, and performing computations. Here's a comprehensive overview of LangChain tutorials, which can help you understand and master the framework.
### Key Concepts of LangChain:
1. **Chains:**
Chains are sequences of operations that process input and produce output. In LangChain, you can create chains that link together multiple steps, such as querying a language model, fetching data from an external source, and then...
### Key Concepts of LangChain:
1. **Chains:**
Chains are sequences of operations that process input and produce output. In LangChain, you can create chains that link together multiple steps, such as querying a language model, fetching data from an external source, and then...
Просмотров: 188
Видео
chat app with MongoDB Chat Message History using langchain| Tutorial:113
Просмотров 131День назад
GITHUB: github.com/ronidas39/LLMtutorial/tree/main/tutorial113 TELEGRAM: t.me/ttyoutubediscussion In this tutorial, we’ll be building a chat application using Streamlit, with MongoDB handling the backend storage for all chat message history. MongoDB will store the entire conversation history, making this tutorial straightforward yet highly requested by many of you. You’ve been asking how to sto...
implement persistent message storage with redis using Langchain | Tutorial:112
Просмотров 63День назад
@LangChain GITHUB: github.com/ronidas39/LLMtutorial/tree/main/tutorial112 TELEGRAM: t.me/ttyoutubediscussionHere's a description you can use for your RUclips v Certainly! Here's a more detailed and longer description for your RUclips video: Welcome back to Total Technology Zone! In today's tutorial, we’re diving deep into the world of persistent message storage using Redis and LangChain. This i...
how to manage message history with memory using @LangChain |Tutorial:111
Просмотров 71День назад
GITHUB: github.com/ronidas39/LLMtutorial/tree/main/tutorial111 TELEGRAM: t.me/ttyoutubediscussion Welcome to Total Technology Zone! In today's tutorial (#111), we dive deep into using message history in LangChain with memory. Whether you're building a chatbot or chat application, maintaining message history is crucial for session management and context awareness. In this tutorial, we'll show yo...
voice driven service desk agent using Langchain |Tutorial:110
Просмотров 7314 дней назад
GITHUB: github.com/ronidas39/LLMtutorial/tree/main/tutorial110 TELEGRAM: t.me/ttyoutubediscussion In this tutorial, you'll learn how to build a powerful Voice-Driven Service Agent using LangChain and OpenAI . This agent will listen to voice instructions, search for specific emails in your Gmail account, read and understand the content, and then execute the necessary tasks based on the email ins...
agent scratchpad examples in LangChain|Tutorial:109
Просмотров 7414 дней назад
GITHUB: github.com/ronidas39/LLMtutorial/tree/main/tutorial109 TELEGRAM: t.me/ttyoutubediscussion 👋 Welcome Back to Total Technology Zone! 👋 📚 What’s This Tutorial About? If you’ve ever struggled to understand how to track and manage the intermediate steps when working with agents and tools in LangChain, this video is tailor-made for you. The Agent Scratch Pad is a vital tool for developers loo...
build voice driven email assistant using @LangChain Tutorial:108
Просмотров 12614 дней назад
GITHUB: github.com/ronidas39/LLMtutorial/tree/main/tutorial108 TELEGRAM: t.me/ttyoutubediscussion Here's an extended version of your RUclips video description: 🔍 What You’ll Learn: In this comprehensive tutorial, we’ll cover: 1. Setting Up Your Environment: - Learn how to configure your Python environment for seamless integration with Gmail, Streamlit, LangChain, and OpenAI. - Detailed instruct...
chat with json documents using LlamaIndex| Tutorial:25
Просмотров 9014 дней назад
GITHUB: github.com/ronidas39/llamaindex/tree/main/tutorial25 TELEGRAM: t.me/ttyoutubediscussion Welcome back to Total Technology Zone , your ultimate destination for advanced tech tutorials! 🚀 In today’s exciting tutorial, we're taking a deep dive into JSON Document Analysis using the Llama Index . If you’ve been searching for a streamlined way to query and extract insights from JSON documents,...
chat with news article using LlamaIndex| Tutorial:24
Просмотров 4021 день назад
GITHUB: github.com/ronidas39/llamaindex/tree/main/tutorial24 TELEGRAM: t.me/ttyoutubediscussion Hey there, tech enthusiasts! This is Ronnie, and welcome back to Total Technology Zone -your go-to channel for all things cutting-edge in the world of technology. Today, we're diving into Tutorial #24, where I'll show you how to chat with news articles using LlamaIndex. Imagine turning your favorite ...
chat with youtube videos using Llamaindex | tutorial:23
Просмотров 8321 день назад
GITHUB: github.com/ronidas39/llamaindex/tree/main/tutorial23 TELEGRAM: t.me/ttyoutubediscussion Hey everyone! Welcome back to Total Technology Zone -your ultimate destination for deep dives into cutting-edge technology. I’m Ronnie, and today we’re taking our LlamaIndex series to the next level with Tutorial #23, where we explore how to interact with RUclips videos like never before. 🔥 What’s in...
chat with website using LlamaIndex|Tutorial:22
Просмотров 8321 день назад
GITHUB: github.com/ronidas39/llamaindex/tree/main/tutorial22 TELEGRAM: t.me/ttyoutubediscussion Description: 🔍 Welcome to Total Technology Zone! Today, we dive deep into creating an interactive query engine using Llama Index that allows you to chat with data extracted from any website. This tutorial is perfect for anyone looking to enhance their web scraping, data processing, and AI-powered sea...
Chat with multiple google docs using llamaindex |tutorial:21
Просмотров 4221 день назад
GITHUB: github.com/ronidas39/llamaindex/tree/main/tutorial21 TELEGRAM: t.me/ttyoutubediscussion What’s up guys! This is Ronnie, and welcome back to our channel, Total Technology Zone. Today, we’re diving into tutorial 21, where I’ll be showing you how to chat with multiple Google Docs using LlamaIndex. This tutorial builds on our last video (tutorial 20) where we learned how to chat with a sing...
chat with google docs using LlamaIndex | Tutorial:20
Просмотров 4428 дней назад
GITHUB: github.com/ronidas39/llamaindex/tree/main/tutorial20 TELEGRAM: t.me/ttyoutubediscussion
chat with aws bucket file using llamaindex|Tutorial:19
Просмотров 4528 дней назад
GITHUB: github.com/ronidas39/llamaindex/tree/main/tutorial19 TELEGRAM: t.me/ttyoutubediscussion Here's a detailed RUclips video description based on the content you provided: [Music] [Music] What’s up guys! This is Ronnie, and welcome back to our channel, Total Technology Zone. Today, we’re diving into tutorial 19, where I’ll be showing you how to chat with files stored in an Amazon S3 bucket u...
how to use Simple directory reader in LlamaIndex|Tutorial:18
Просмотров 5028 дней назад
GITHUB: github.com/ronidas39/llamaindex/tree/main/tutorial18 TELEGRAM: t.me/ttyoutubediscussion thank you king clauneck [Music] [Music] Welcome back to Total Technology Zone! This is Ronnie, and I’m excited to bring you tutorial 18 in our ongoing series. First off, I want to thank all of you for your patience-it's been a tough week with lots of challenges, from severe weather causing floods and...
Structure output parsing using LlamaIndex|Tutorial:17
Просмотров 55Месяц назад
Structure output parsing using LlamaIndex|Tutorial:17
how to use document nodes in LlamaIndex|Tutorial:16
Просмотров 77Месяц назад
how to use document nodes in LlamaIndex|Tutorial:16
build chat engine app using LlamaIndex|Tutorial:15
Просмотров 97Месяц назад
build chat engine app using LlamaIndex|Tutorial:15
how to use rate limiters in LangChain |Tutorial:107
Просмотров 90Месяц назад
how to use rate limiters in LangChain |Tutorial:107
how to use prompts in index query LlamaIndex |Tutorial:14
Просмотров 86Месяц назад
how to use prompts in index query LlamaIndex |Tutorial:14
How to use prompts in LlamaIndex|Tutorial:13
Просмотров 114Месяц назад
How to use prompts in LlamaIndex|Tutorial:13
Langgraph with LangChain |Tutorial:106
Просмотров 167Месяц назад
Langgraph with LangChain |Tutorial:106
customize LLM usage using LlamaIndex|Tutorial:12
Просмотров 71Месяц назад
customize LLM usage using LlamaIndex|Tutorial:12
Rag with multimodal vector index from youtube using LangChain|Tutorial:105
Просмотров 134Месяц назад
Rag with multimodal vector index from youtube using LangChain|Tutorial:105
multimodal vector index using LlamaIndex|Tutorial:11
Просмотров 108Месяц назад
multimodal vector index using LlamaIndex|Tutorial:11
chat with MultiModal LLMS using LlamaIndex|tutorial:10
Просмотров 88Месяц назад
chat with MultiModal LLMS using LlamaIndex|tutorial:10
how to use embeddings with LlamaIndex | Tutorial:9
Просмотров 79Месяц назад
how to use embeddings with LlamaIndex | Tutorial:9
maintain LLM token usage history using LangChain & DynamoDB|tutorial:104
Просмотров 85Месяц назад
maintain LLM token usage history using LangChain & DynamoDB|tutorial:104
multiple function call with LangChain|Tutorial:103
Просмотров 114Месяц назад
multiple function call with LangChain|Tutorial:103
use LlamaIndex & LangChain together |tutorial:8
Просмотров 1932 месяца назад
use LlamaIndex & LangChain together |tutorial:8
ImportError: DLL load failed while importing onnx_cpp2py_export: A dynamic link library (DLL) initialization routine failed.
I am having lots of content in JSON and using Gemini as LLM but it creates 429 Resource Limit . So I actually need to understand that how can we feed all data of JSON to Gemini . Like To be specific I am passing Scraped data of Website in JSON format
Its a special use case Text me telegram ,i will check if i can support
Hi Ronin, can you tell us how to do this using postgres? How do we find the db driver, hostname, and set user, pass etc... This is not mentionde in the doc of langchain
Ronin can you make a video of doing it with postgres and how to install postgress? I was using mongo and then sql server but now my internship is asking for Postgres and I'm a bit lost
Will do
Can you tell me i am getting a problem in loading 200 pdf i am using pypdfdirectory then also can you help
Will see
While uploading it is showing advance encoding [ ] not implemented yet
Thanks ❤
can this be connected to agents?
Yes
Very usefull! Regars from Argentina!
Please subscribe
Good Video !! Thanks for the line by line code explanation.
Thanks for the video!
whats the difference between this code and the tutorial 108?
Here it is performing a task but 108 only reads the emaik
Hi Roni is it possible to implement custom prompt template and chat history but in this case, we want the chat history to only remember the 5 most recent messages? This way we can guarantee our LLM will never exceed context window in the future.
Will do in the next video
Greaaaaat. You are absolutely legend in Langchain
Really
Very informative and simple way of teaching
Thank you please support us
Can you make a video about data engineering where a user can upload any number of excel files and would ask his agent to execute tasks for example "Move column X from old.csv to new.csv and then find the average"
Nice
Wow this is amazing!
Hi, i'm using TheBloke/Llama-2-7B-Chat-GGUF/llama-2-7b-chat.Q4_K_M.gguf as the llm model. i'm doing the same as you did on video. but the model either stops after 1000 max_iteration or producing wrong answers while my questions are very basic and simple. do you have any idea why this happens?
Limitation for iteration
@@TotalTechnologyZonne so my model is basically is not smart enough and i have to increase the iteration?
No its smart but it has limitation
@@TotalTechnologyZonne what limitations?
kiya chootiyapa ha not working wtf starlette.graphql exist nai karta i install it didint work.
Thank you dada, etai khujchilam.
Tai naki
please turn off your mobile when recording a video
Thank you
Thanks for the tutorial. I have super disturbed issue while am following your tutorial. I have the AttributeError. (type object 'TensorProto' has no attribute 'INT4') can you help me to find the way I can solve this?
Yes text me on telegram
@@TotalTechnologyZonne am sorry brother. I don't use telegram....
No problem
Bro who even use light theme nowadays?? eww
this is the best video i am come across, the explaination is good as well.
Please supportvus
Not helpful at all... Please fix the audio noise and how do I even change the documentation content like add description and examples
Cool, but for bigger file we have a limit, how we can divide image to parts or what we should do?
thank you for this! it was really useful (:
You can pass any value of text_key it has no effect.
Hi Bro, I implemented same solution using AzureOpenAI and have added valid apikey,apiversion and all other details. I am also able to fetch table names from SQL db. But while implementing create_sql_agent(). I am facing issue. I am new to Python and Langchain. Please help. Issue: ValidationError: 2 validation errors for QuerySQLCheckerTool __root__ -> prompt Can’t instantiate abstract class BasePromptTemplate with abstract methods format, format_promt(type=type_error) __root__ -> llm Can’t instantiate abstract class BaseLanguageModel with abstract methods agenerate_prompt, apredict, apredict_messages, generate_prompt, predict, predict_messages ( type=type_error)
Not sure
ModuleNotFoundError: No module named 'langchain_experimental' :/
Hi Thanks a lot for tutorial. Can we store this in some variable that can be further been used?
Yes
This would be interesting to reproduce with the LangFlow UI
You're doing great! But I was doing it for Groq API in langchain and it said there is no such paramter rate limiter
Is it
How to retrieve Zephyr test cases linked to the Jira issue through API ?
Great, please bring more such projects soon which will benefit in real life.
Give me some example
Hi, thanks for the content! However, the title is a bit misleading. This is not function (tool) calling - or I completely misunderstood something.
You misunderstood
what's wrong with your microphone? or are you cooking something in background? or is it raining on your desk?
correct your audio, please.
You are posting comment on 3-4 yrs old video ,audio had been fixed already.
Greate Job! How to use llama3.1 to descript image file?
Will do
I have few doubts posted on your telegram can you pls help me in that
please switch off your mobile during the recording, this looks not very professional. in general i'm interesting in REST API for Xray (jira tests): add results to a test plan or test run, collect status of a test (in a testing board / test repository) and similar.
Great video! But for me tons of errors were occurred and a bit expensive event with the small files
This is the final answer, not the intermediate step
Ok
Hello, nice job, I update a bit file and make file_name is equal to video title def saveTranscript(result, name='transcript.txt'): with open(name, 'w', encoding="utf-8") as f: f.write(result) def getRUclipsLoader(url): loader = RUclipsLoader.from_youtube_url(url, add_video_info=True, language=["en", "uk"], translation="en", ) data = loader.load() title = data[0].metadata["title"].replace(" ", "_") # get title print(title) return data[0].page_content, title
Thank you for this video! If I run elasticsearch locally with docker, instead of using an API, how would the code change?
heyyy can i make this project and add on my resume???
Yes bro you can
@@TotalTechnologyZonneThank you bhai ❤
Support us
Excelent
Thank you Please support us
Awesome! Keep up the great work!
Thanks for the content, man. Very helpfull to learn the foundations and quick way to make it work. Helped me a lot. Keep the great work!
Please support me
I just wanna say that this video has helped me ALOT and very grateful to u. I was making a custom tool using python's subprocess module to execute shell commands on Windows. I also read that ShellTool was only made for linux so I didnt use that prior to that. After watching ur video and I decided "fuck it" and just execute it and it freaking worked like a charm!!!! This has been the greatest facepalm I've ever faced in my career as a developer. 😭😭
Suppport me with active engaggement and share subscribtion
I get this error : "No API key found for OpenAI."
Set as environmental variable