This notebooks goes over how to load documents from Kinetica
%pip install gpudb==7.2.0.9
from langchain_community.document_loaders.kinetica_loader import KineticaLoader
import os
from dotenv import load_dotenv
from langchain_community.vectorstores import (
KineticaSettings,
)
load_dotenv()
HOST = os.getenv("KINETICA_HOST", "http://127.0.0.1:9191")
USERNAME = os.getenv("KINETICA_USERNAME", "")
PASSWORD = os.getenv("KINETICA_PASSWORD", "")
def create_config() -> KineticaSettings:
return KineticaSettings(host=HOST, username=USERNAME, password=PASSWORD)
from langchain_community.document_loaders.kinetica_loader import KineticaLoader
QUERY = "select text, survey_id from SCHEMA.TABLE limit 10"
kinetica_loader = KineticaLoader(
QUERY,
HOST,
USERNAME,
PASSWORD,
)
kinetica_documents = kinetica_loader.load()
print(kinetica_documents)
from langchain_community.document_loaders.kinetica_loader import KineticaLoader
QUERY = "select text, survey_id as source from SCHEMA.TABLE limit 10"
kl = KineticaLoader(
query=QUERY,
host=HOST,
username=USERNAME,
password=PASSWORD,
metadata_columns=["source"],
)
kinetica_documents = kl.load()
print(kinetica_documents)
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