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This page covers how to use vlite within LangChain. vlite is a simple and fast vector database for storing and retrieving embeddings.

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Installation and setup

To install vlite, run the following command: 
pip install vlite
For PDF OCR support, install the vlite[ocr] extra: 
pip install "vlite[ocr]"

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VectorStore

vlite provides a wrapper around its vector database, allowing you to use it as a vectorstore for semantic search and example selection. To import the vlite vectorstore: 
from langchain_community.vectorstores import vlite

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Usage

For a more detailed walkthrough of the vlite wrapper, see this notebook.
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