add_texts

Example:

from langchain_redis import RedisVectorStore
from langchain_openai import OpenAIEmbeddings

vector_store = RedisVectorStore(
    index_name="langchain-demo",
    embedding=OpenAIEmbeddings(),
    redis_url="redis://localhost:6379",
)

texts = [
    "The quick brown fox jumps over the lazy dog",
    "Hello world",
    "Machine learning is fascinating"
]
metadatas = [
    {"source": "book", "page": 1},
    {"source": "greeting", "language": "english"},
    {"source": "article", "topic": "AI"}
]

ids = vector_store.add_texts(
    texts=texts,
    metadatas=metadatas,
    batch_size=2
)

print(f"Added documents with ids: {ids}")

Note:

• If metadatas is provided, it must have the same length as texts.
• If keys is provided, it must have the same length as texts.
• The batch_size parameter can be used to control the number of documents added in each batch, which can be useful for managing memory usage when adding a large number of documents.