Difference between revisions of "LLM: RAG contoh"
		
		
		
		
		
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Onnowpurbo (talk | contribs)  | 
				Onnowpurbo (talk | contribs)   | 
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  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