vlite
This page covers how to use vlite within LangChain. vlite is a simple and fast vector database for storing and retrieving embeddings.
Installation and Setupβ
To install vlite, run the following command:
pip install vlite
For PDF OCR support, install the vlite[ocr]
extra:
pip install vlite[ocr]
VectorStoreβ
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
Usageβ
For a more detailed walkthrough of the vlite wrapper, see this notebook.