Difference between revisions of "LLM: RAG contoh"
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Onnowpurbo (talk | contribs) (→=Flask) |
Onnowpurbo (talk | contribs) |
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| Line 4: | Line 4: | ||
python3 -m venv venv | python3 -m venv venv | ||
source venv/bin/activate | source venv/bin/activate | ||
| + | |||
| + | mkdir pdf | ||
| + | mkdir db | ||
pip3 install langchain_community | pip3 install langchain_community | ||
Revision as of 13:05, 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
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