Difference between revisions of "LLM: RAG contoh"

From OnnoWiki
Jump to navigation Jump to search
 
(One intermediate revision by the same user not shown)
Line 11: Line 11:
 
  pip3 install langchain-text-splitters
 
  pip3 install langchain-text-splitters
 
  pip3 install fastembed
 
  pip3 install fastembed
 +
pip3 install pdfplumber
 +
pip3 install chromadb
  
 
Edit apps.py
 
Edit apps.py

Latest revision as of 13:11, 15 July 2024

Contoh: https://www.youtube.com/watch?v=7VAs22LC7WE


python3 -m venv venv
source venv/bin/activate
mkdir pdf
mkdir db
pip3 install langchain_community
pip3 install langchain-text-splitters
pip3 install fastembed
pip3 install pdfplumber
pip3 install chromadb

Edit apps.py

from langchain_community.llms import Ollama
llm = Ollama(model="llama3")
responds=llm.invoke("Why the sky is blue?")
print(responds)

Run

python3 apps.py


Flask

pip3 install flask

Edit apps.py

from flask import flask
from langchain_community.llms import Ollama
app = flask(__name__)


llm = Ollama(model="llama3")
responds=llm.invoke("Why the sky is blue?")
print(responds)

Lebih detail bisa di baca di

https://github.com/ThomasJay/RAG/blob/main/app.py

Referensi