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This page covers how to use Teradata Vector Store within LangChain. It is broken into two parts: installation and setup, and then references to specific Teradata wrappers.

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Installation

  • Install the Python package with pip install langchain-teradata

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Setup

The first step is to create a connection to your Teradata Vantage system. You’ll need your Teradata credentials including hostname, username, password, and optionally API tokens for cloud deployments. For detailed setup instructions, see the Teradata Vector Store User Guide and Getting started with Vantage Cloud Lake

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Wrappers

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VectorStore

There exists a wrapper around Teradata Vector database, allowing you to use it as a vectorstore, whether for similarity search or rag pipelines To import this vectorstore: 
from langchain_teradata import TeradataVectorStore

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Usage

For a more detailed walkthrough of the Teradata VectorStore, refer to langchain-teradata User Guide and langchain-teradata workflows
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