from_texts

Construct an instance of QdrantVectorStore from a list of texts.

This is a user-friendly interface that:

1. Creates embeddings, one for each text
2. Creates a Qdrant collection if it doesn't exist.
3. Adds the text embeddings to the Qdrant database

This is intended to be a quick way to get started.

from langchain_qdrant import Qdrant
from langchain_openai import OpenAIEmbeddings

embeddings = OpenAIEmbeddings()
qdrant = Qdrant.from_texts(texts, embeddings, url="http://localhost:6333")