langchain-kinetica

Kinetica intefrace for Langchain. See the LLM documentation for an overview of the Kinetica LLM.

• 1. Prerequisites
• 2. Package Contents
• 3. Installation
• 4. Usage
• 5. Building
• 6. See Also

1. Prerequisites

To use langchain with Kinetica you will need:

• Python runtime >3.10
• Kinetica SqlAssist LLM
• Kinetica instance >7.2.0 configured to use SqlAssist.

2. Package Contents

• KineticaChatLLM: ChatModel for converting natural language to SQL.
• KineticaSqlOutputParser: OutputParser that will execute SQL from the KineticaChatLLM.
• SqlResponse: If the Kinetica chain ends with KineticaSqlOutputParser then this response will contain the generated SQL and results from its execution.

3. Installation

You can install this project from pypi.

$ pip install langchain-kinetica

For a pre-release version you can install directly from the repository.

$ pip install "langchain-kinetica @ git+ssh://git@github.com/kineticadb/langchain-kinetica.git"

4. Usage

See the Kinetica LLM Demo notebook for examples.

5. Building

Install the project locally.

$ pip install --editable .

You will need to install the build utility.

$ pip install --upgrade build

Build the project

$ python3 -m build

The build will generate a .whl file that can be distributed.

$ ls -1 ./dist
langchain-kinetica-1.0.tar.gz
langchain_kinetica-1.0-py3-none-any.whl

6. See Also

• Kinetica LLM Documentation
• LangChain Prompts
• LancChain Chat Models