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# Description Add `RediSearch` vectorstore for LangChain RediSearch: [RediSearch quick start](https://redis.io/docs/stack/search/quick_start/) # How to use ``` from langchain.vectorstores.redisearch import RediSearch rds = RediSearch.from_documents(docs, embeddings,redisearch_url="redis://localhost:6379") ```
27 lines
921 B
Python
27 lines
921 B
Python
"""Test Redis functionality."""
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from langchain.docstore.document import Document
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from langchain.vectorstores.redis import Redis
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from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
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def test_redis() -> None:
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"""Test end to end construction and search."""
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texts = ["foo", "bar", "baz"]
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docsearch = Redis.from_texts(
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texts, FakeEmbeddings(), redis_url="redis://localhost:6379"
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)
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output = docsearch.similarity_search("foo", k=1)
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assert output == [Document(page_content="foo")]
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def test_redis_new_vector() -> None:
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"""Test adding a new document"""
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texts = ["foo", "bar", "baz"]
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docsearch = Redis.from_texts(
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texts, FakeEmbeddings(), redis_url="redis://localhost:6379"
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)
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docsearch.add_texts(["foo"])
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output = docsearch.similarity_search("foo", k=2)
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assert output == [Document(page_content="foo"), Document(page_content="foo")]
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