Build your own RAG (retrieval augmented generation) AI Chatbot using Python | Simple walkthrough

Показать описание

Showcasing Retrieval Augmented Generation (RAG) for #chatbots and a step-by-step tutorial on how to build one for yourself or others. The tutorial uses #langchain and #openai #gpt #largelanguagemodels

Related videos :

Resources

Рекомендации по теме

Комментарии

I hope you guys have enjoyed this video 🫶 If you would like to know more about it, please have look to this article.

Avra_b

not even five minutes into the video and the explanation I've gotten is clear and very arranged...thanks!

funmitoadeyemi

Very crisp and on point. Forget about the folks complaining about audio clarity. I have totally understood what you tried to explain. Cheers.

shalempanthagani

videos keep getting better and better! 👍

ammarali

The video content is really good. However pls do something about the audio. Please bring more clarity in audio.

SwatiAgarw

I subscribed. Constructive criticism to improve your channel as I think you provide good instructions. Study shows that bad audio quality discourages people to continue watching than bad video. The audio is already low to begin with but when you start moving away from the camera, which I think is the audio in as well, I could barely hear you. My 2cents. Thank you though for the content

Outrjs

You can work a bit regarding audio. Btw very helpful

pritampadhan

great video and info, only thing is the audio could be more clear, i think even a cheap USB mic off the internet would help quite a bit. Thanks and best of luck!

caysomusic

i would like to build a chatbot using RAG and could you suggest me some of the latest techniques for embedding model, retrieval model rerank model, vector database and the best LLm

stevejos

Thank you for sharing this amazing video tutorial; it's really helpful. I have one question. If I use this chat and want to make a personalized adaptive chatbot—adaptive in the sense that the chatbot can adapt to user behavior and respond accordingly—would it be possible to use RAG to create such an adaptive chatbot?

Please help me understand if I can create a personalized adaptive chatbot through this RAG framework, and if you could share any suggestions or tips for making this kind of chatbot, I would be very grateful.

sidrakubra

Really appreciate this video. If possible can you fix the microphone quality? Sometimes its hard to understand what you are saying due to the poor audio quality.

sayanghosh

hey Avra_b, this is pretty helpful. Do we have any limitation on the size of the file or the number of files that I can upload while using above method?

nutkut

Audio volume goes up and down like crazy ... impossible to focus on the content ...

ahmedmusawir

Hi, I can't seem to run the Python codes in Databutton and the front end language for Databutton is React now.

Can I get some guide on how I can run the codes in your Github? Maybe in vscode since I think Databutton has a different interface now.

jooznagawa

How do you update a PDF document stored in Pinecone/Chroma db? Can you do a video explaining how to Update /Delete Content stored in Vector d.

mangaimsc

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

xspydazx

I have seen the new OpenAI updates for building our custom GPT.. is it easy to be embedded on our website? And what it differs from building RAG chatbot as in the video.. Thanks for your knowledge. 👍👍

zahraahawie

Love the content but record the audio offline might help.

the difficult part will be to create a saas app with user sign in, subscription plans, landing page etc.

ChronicleContent

Hi, Thanks for your tutorial!
Can it be used for a complete beginner ?

teguhbagussurya

Build your own RAG (retrieval augmented generation) AI Chatbot using Python | Simple walkthrough

Build your own RAG (retrieval augmented generation) AI Chatbot using Python | Simple walkthrough

Build a Large Language Model AI Chatbot using Retrieval Augmented Generation

Local Retrieval Augmented Generation (RAG) from Scratch (step by step tutorial)

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

Build a RAG Based LLM App in 20 Minutes! | Full Langflow Tutorial

What is Retrieval-Augmented Generation (RAG)?

'I want Llama3 to perform 10x with my private knowledge' - Local Agentic RAG w/ llama3

Building Production-Ready RAG Applications: Jerry Liu

Retrieval Augmented Generation rag

Build a Retrieval-Augmented Generation Chatbot in 5 Minutes

How to build Multimodal Retrieval-Augmented Generation (RAG) with Gemini

How to set up RAG - Retrieval Augmented Generation (demo)

RAG + Langchain Python Project: Easy AI/Chat For Your Docs

Setting up Retrieval Augmented Generation (RAG) in 3 Steps

What is RAG? (Retrieval Augmented Generation)

Building a RAG application using open-source models (Asking questions from a PDF using Llama2)

Python RAG Tutorial (with Local LLMs): AI For Your PDFs

How RAG Turns AI Chatbots Into Something Practical

Building a RAG application from scratch using Python, LangChain, and the OpenAI API

ADVANCED Python AI Agent Tutorial - Using RAG

Chatbots with RAG: LangChain Full Walkthrough

Getting started with (Retrieval Augmented Generation) RAG in Java & Spring AI

How to use RAG (Retrieval Augmented Generation) - Short Tutorials

Vector Search RAG Tutorial – Combine Your Data with LLMs with Advanced Search