Talk to ANY PDF without OpenAI APIs: LangChain, it's not what you think
6 هزار بار بازدید -
پارسال
-
👋Hello my dear coders,
In
👋Hello my dear coders,
In this video, I'll demonstrate how to connect with your data using LangChain for nothing at all, without the requirement for OpenAI apis. Huggingface hub embeddings will be used to convert our documents into vector representations (embeddings). We will once more use open-sourced models (such as - flan T5) in place of OpenAI models for large language models. With LangChain, every step will be completed using FREE & open source technologies.
In this video we will be talking more than just pdf. we will see how we can leverage this technique to create more complicated model including infinite memory in the chatbot.
Everything here will be opensource, so you could learn more and more.
👉0:00 Intro.
👉0:23 Explanation the code.
👉1:20 Problem with this approach.
👉2:34 Solution to this problem.
👉3:59 Other application including chatbot.
✍️Learn and write the code along with me.
🙏The hand promises that if you subscribe to the channel and like this video, it will release more tutorial videos.
👐I look forward to seeing you in future videos
colab : colab.research.google.com/drive/1UHUnnLITV07X09JEY…
#langchiantutorial
langchian chatbot
langchain hugging face
langchian opensource
langchain agent
langchain demo
langchain Information reterival
huggingface
langchain llama
langchain google flant5
langchain ai
langchain
langchain tutorial
build question answering system
#LangChain #Pinecone #GPT4 #ChatGPT #SemanticSearch #DocumentQnA
پارسال
در تاریخ 1402/02/25 منتشر شده
است.
6,041
بـار بازدید شده