AI chatbot based on custom website data using Langchain, Pinecone and OpenAI
ฝัง
- เผยแพร่เมื่อ 1 มิ.ย. 2024
- Learn how to build a full-stack app in this tutorial: • Full-stack AI chatbot ...
Colab notebook with langchain question-answering chain and an index based on the custom data from a website: colab.research.google.com/dri...
Watch full stack app overview tutorial here: • Full-stack AI chatbot ...
Want to learn how to build a full-stack langchain app step by step? Join the waiting list: forms.gle/SuP2YBkDqctpihdi6
Timecodes:
00:00 Intro
01:07 Demo
03:26 How it works
05:02 Setting up OpenAI and Pinecone
08:11 Scraping a website
10:42 Making an index
17:27 Making a question-answering chain
High-converting accessible e-commerce template from Tech Foundation techfoundation.gumroad.com/l/...
AI playlist: • AI crash course
#UXDesign #UX #Figma #UXUI
Just stumbled across your channel and have to say this is great stuff! Rapid saas app deployment and fully indexed personal assistants are getting there!
Well detailed tutorial. Thank you!
It'll be helpful to update the documentation links in the notebook, most are broken.
Very cool and up to date content, thanks!
This is a great video to learn chatbot using langchain and Pinecone, Thank you a lot.
This is so great! Hoping I can make my own ChatBot powered by OpenAI using Laravel. This tutorial gave me a lot of insight with the development. Thank you!
another great video, gracias
very impressive, thx! im also very interested in front end part, do you have any tip or video how can I strat learning front end?
Love the new mic!!
Hello , Great content
Thank you a lot!
if you were to substitute OpenAI with something, what would it be? thank you for your effort
Hello, 🎉 great content! I would like to request a video on a solution for chatting on PDFs using an open-source model from Hugging Face that utilizes GPU and ensures data privacy.
Can you please please please make a video that combines a streaming UI (where you see the words appears one after the other) built with JS (such as your recent one on NextJS) WITH a python backend that uses Langchain, such as in this video. Your recent video is almost exactly that except that you're using the javascript version of Langchain. I struggle to understand how to make the python backend and JS frontend work together in a streaming chatbot way that accepts output and streams the response. That would be so amazing if you could do that, maybe as a part 2 of this video. Many thanks!! LOVE your content so much!!
I'm thinking too make a full course that teaches how to do and deploy it. Let me know if you are interested by joining the waiting list forms.gle/SuP2YBkDqctpihdi6
Amazing tutorial. However, what if a website does not have sitemap?
Did you ever find an answer?
Pinecone has had quite a few updates. Also even with the older version of pine cone, Index has no attribute 'similarity_search'. Anyone know how to fix this problem
Pipeline is not connected can someone help me ?
how to create ai tools for saas
How can we find the sitemap URL from any of the website URLs?
END URL WITH /SITEMAP.XML
AttributeError: init is no longer a top-level attribute of the pinecone package.
Getting the same error seems like pinecone has some new updates.
please make full stack web pages data custom data chatbot end to end complete
What was the API cost? 🤔
I've spent $0.37 while recording the video
@@irina_nik ooo that's not much. Now i can experiment with it thanks
I try to run this but not able to run this
Not so great for beginners that dont know what things like langchain are.
Hi Irina, everything was going well until I executed the "Creating a vectorstore" section since I got an error : WARNING:langchain.embeddings.openai:Retrying langchain.embeddings.openai.embed_with_retry.._embed_with_retry in 4.0 seconds as it raised RateLimitError: You exceeded your current quota, please check your plan and billing details..
I upgraded to Chat GPT Plus but I'm still getting this. Any idea on how to resolve this? Thank you. Oscar.
Great video and Tku for what you do….keep ‘em coming!🥳🦾😎
Thanks ☺️