langchain-turbopuffer

Name	langchain-turbopuffer JSON
Version	0.1.2 JSON
	download
home_page	None
Summary	an unofficial langchain binding for turbopuffer
upload_time	2025-01-12 23:01:02
maintainer	None
docs_url	None
author	Alex Chi Z
requires_python	<3.13,>=3.10
license	MIT
keywords	langchain turbopuffer vector-store
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # langchain-turbopuffer

Use Turbopuffer as a vector store for LangChain.

## Usage

```bash
poetry add git+https://github.com/skyzh/langchain-turbopuffer
# see example.py for usage
```

```python
from langchain_turbopuffer import TurbopufferVectorStore

vectorstore = TurbopufferVectorStore(
    embedding=OllamaEmbeddings(model="mxbai-embed-large"),
    namespace="langchain-turbopuffer-test",
    api_key=os.getenv("TURBOPUFFER_API_KEY"),
)
```

## Local Development

```bash
git clone https://github.com/skyzh/langchain-turbopuffer
cd langchain-turbopuffer
poetry env use 3.12
poetry install

ollama pull mxbai-embed-large llama3.2
ollama run llama3.2
export TURBOPUFFER_API_KEY=your_api_key
poetry run python example.py
poetry run python example.py --skip-load
```

In the example, you can ask questions like "What is prompt engineering?"

## License

MIT

Note that the `example.py` is from [langchain-risinglight](https://github.com/skyzh/langchain-risinglight) based on several online tutorials (see the file header for more details).

            

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