Construct Neo4jVector wrapper from raw documents and pre- generated embeddings.
Return Neo4jVector initialized from documents and embeddings.
Neo4j credentials are required in the form of url, username,
and password and optional database parameters.
Example:
from langchain_neo4j import Neo4jVector
from langchain_openai import OpenAIEmbeddings
embeddings = OpenAIEmbeddings()
text_embeddings = embeddings.embed_documents(texts)
text_embedding_pairs = list(zip(texts, text_embeddings))
vectorstore = Neo4jVector.from_embeddings(
text_embedding_pairs, embeddings)