Building a Full-Stack Complex PDF AI chatbot w/ R.A.G (Llama Index)

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Paragon - AI & Automation

Paragon - AI & Automation

Күн бұрын

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Timestamps
00:00-00:46 Introduction
00:46-01:34 Goal of the project
01:34-2:34 Demo
02:34-05:48 AI Functionality
05:48-06:43 Tech Stack / Features
06:43-07:44 High Level View
07:44-11:39 Main General Takeaways
RAG chatbot
RAG chatbot in react
Complex PDF RAG chatbot
AI for unstructured chatbot data
AI for unstructured data
agency automation ideas
onboarding automation tutorial
increase client retention
ai automation agency
openai
liam ottley
ai
chatgpt
ai automation
dropshipping
eCom brands
shopify automation
ai business automation
automate onboarding
automate client process
automate customer journey
easy automations for beginners
business automation templates
agency automations
gpt

Пікірлер: 18
@JimLloyd1
@JimLloyd1 4 ай бұрын
Hey, I'm nearing retirement (64 years old) and have been programming for 3/4s of my life. I am still learning and I learned some useful things in this video, but more important you have convinced me that your approach and methodology (and talent) means you are definitely worth following. Please keep publishing.
@xenojnr
@xenojnr 3 ай бұрын
How can you correct a retrieval functionality🤗🤵🏽☺️ vnshe
@andydataguy
@andydataguy 2 ай бұрын
This is so wholesome 💜
@mvwil
@mvwil Ай бұрын
I kneel.
@brianhauk8136
@brianhauk8136 3 ай бұрын
Please do another video in which you share all project details and include a Github link. Thanks!
@zeelthumar
@zeelthumar 3 ай бұрын
The best RAG Architechture i have ever seen
@jaivalani4609
@jaivalani4609 4 ай бұрын
Llama index in built func will manage extraction of table or unstructured data to separate db or you had to use separately that git hub lib unstructured
@ChrisadaSookdhis
@ChrisadaSookdhis 4 ай бұрын
This is interesting! It would be even more helpful to include some discussion on the impact of different techniques on final performance. For example, how much does including table summary via UnstructuredElementNodeParser helped.
@heejincs
@heejincs 2 ай бұрын
Great content! What app are you using for drawing diagrams?
@user-fj4ic9sq8e
@user-fj4ic9sq8e 2 ай бұрын
Hello, thank you so much for this video. i have a question related of summarize questions in LLM documents. For example in vector database with thousands documents with date property, and i want ask the model how much document i received in the last week?
@AmitsHandle
@AmitsHandle 2 ай бұрын
I want to add chat memory feature in my project. using langchain memory. can create memory for each model instance. can you provide info on how to create chat session. any resource?
@joshsabol4
@joshsabol4 3 ай бұрын
Heads up, UnstructuredElementNodeParser only works if PDFs were saved with tables and then extracted as HTML with the table tags preserved. Rasterized PDFs won't work.
@surathjhakal8905
@surathjhakal8905 Ай бұрын
hey , can you help me build this? if you can make a playlist on how we built this, it would be awesome!
@mvwil
@mvwil Ай бұрын
can you send me the site? I could use that application. There's tons of terrible "Talk to your PDF" apps out there, but yours sounds better than most, cause it lets you talk to all of them
@danielhuesca361
@danielhuesca361 2 ай бұрын
care to share the github repo for it?
@medkhalilbousnina1993
@medkhalilbousnina1993 3 ай бұрын
Source code ?
@alexacris5600
@alexacris5600 3 ай бұрын
what a bout chroma db
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