Langchain

Premise Ok, got this half baked idea , combine my #brag-document with the available [[langchain]] QA chains into a proof of concept maybe I can call [[langchain interview me 2023-feb]] So I’m going to throw a bunch of my source material together, language based, accessible as plain text doc, and then I will run the Link examples that provide references, citations, Ok, so for accumulating my information, import yaml import tempfile from pathlib import Path from datetime import datetime import pytz def utc_now(): return datetime....

Okay let me try that lang chain demo 19:23 ok yea looking at https://beta.openai.com/account/api-keys I did not have an api key yet, so lets try that out. how can one use https://github.com/hwchase17/langchain for [[question-answer-task]] over documentation ? https://langchain.readthedocs.io/en/latest/use_cases/question_answering.html 19:33 wow really cool so https://langchain.readthedocs.io/en/latest/use_cases/question_answering.html#adding-in-sources this says this can provide the sources used in answering a question ! nice 19:37 ok so first per https://langchain.readthedocs.io/en/latest/getting_started/getting_started.html here, installing this stuff, creating a new environment on my laptop pip install langchain pip install openai pip install faiss-cpu # adding this here after the fact after getting below error 20:11 got one error, ValueError: Could not import faiss python package....