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Kinetica

This notebooks goes over how to load documents from Kinetica

%pip install gpudb==7.2.0.1
from langchain_community.document_loaders.kinetica_loader import KineticaLoader

API Reference:

## Loading Environment Variables
import os

from dotenv import load_dotenv
from langchain_community.vectorstores import (
KineticaSettings,
)

load_dotenv()

API Reference:

# Kinetica needs the connection to the database.
# This is how to set it up.
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

# The following `QUERY` is an example which will not run; this
# needs to be substituted with a valid `QUERY` that will return
# data and the `SCHEMA.TABLE` combination must exist in Kinetica.

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)

API Reference:

from langchain_community.document_loaders.kinetica_loader import KineticaLoader

# The following `QUERY` is an example which will not run; this
# needs to be substituted with a valid `QUERY` that will return
# data and the `SCHEMA.TABLE` combination must exist in Kinetica.

QUERY = "select text, survey_id as source from SCHEMA.TABLE limit 10"
snowflake_loader = KineticaLoader(
query=QUERY,
host=HOST,
username=USERNAME,
password=PASSWORD,
metadata_columns=["source"],
)
kinetica_documents = snowflake_loader.load()
print(kinetica_documents)

API Reference:


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