Memorystore for Redis for LangChain

Client Library Documentation_
Product Documentation_

.. |preview| image:: https://img.shields.io/badge/support-preview-orange.svg :target: https://cloud.google.com/products#product-launch-stages .. |pypi| image:: https://img.shields.io/pypi/v/langchain-google-memorystore-redis.svg :target: https://pypi.org/project/langchain-google-memorystore-redis/ .. |versions| image:: https://img.shields.io/pypi/pyversions/langchain-google-memorystore-redis.svg :target: https://pypi.org/project/langchain-google-memorystore-redis/ .. _Client Library Documentation: https://cloud.google.com/python/docs/reference/langchain-google-memorystore-redis/latest .. _Product Documentation: https://cloud.google.com/memorystore

Quick Start

In order to use this library, you first need to go through the following steps:

Select or create a Cloud Platform project._
Enable billing for your project._
Enable the Google Memorystore for Redis API._
Setup Authentication._

.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project .. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project .. _Enable the Google Memorystore for Redis API.: https://console.cloud.google.com/flows/enableapi?apiid=memorystore.googleapis.com .. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html

Installation


Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to create isolated Python environments. The basic problem it addresses is
one of dependencies and versions, and indirectly permissions.

With `virtualenv`_, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/

Supported Python Versions
^^^^^^^^^^^^^^^^^^^^^^^^^

Python >= 3.8

Mac/Linux
^^^^^^^^^

.. code-block:: console

   pip install virtualenv
   virtualenv <your-env>
   source <your-env>/bin/activate
   <your-env>/bin/pip install langchain-google-memorystore-redis

Windows
^^^^^^^

.. code-block:: console

   pip install virtualenv
   virtualenv <your-env>
   <your-env>\Scripts\activate
   <your-env>\Scripts\pip.exe install langchain-google-memorystore-redis

Vector Store Usage

Use a vector store to store embedded data and perform vector search.

.. code-block:: python

from langchain_google_memorystore_redis import RedisVectorStore

redis_client = redis.from_url("redis://127.0.0.1:6379")

embeddings_service = VertexAIEmbeddings(model_name="textembedding-gecko@003")
vectorstore = RedisVectorStore(
    client=redis_client,
    index_name="my_vector_index",
    embeddings=embeddings_service
)

You can also use a clustered client:

.. code-block:: python

from langchain_google_memorystore_redis import RedisVectorStore

redis_client = redis.cluster.RedisCluster.from_url("redis://127.0.0.1:6379")

embeddings_service = VertexAIEmbeddings(model_name="textembedding-gecko@003")
vectorstore = RedisVectorStore(
    client=redis_client,
    index_name="my_vector_index",
    embeddings=embeddings_service
)

See the full Vector Store_ tutorial.

.. _Vector Store: https://github.com/googleapis/langchain-google-memorystore-redis-python/blob/main/docs/vector_store.ipynb

Document Loader Usage


Use a document loader to load data as LangChain ``Document``\ s.

.. code-block:: python

    from langchain_google_memorystore_redis import MemorystoreDocumentLoader

    loader = MemorystoreDocumentLoader(
        client=redis_client,
        key_prefix="docs:",
        content_fields=set(["page_content"]),
    )
    docs = loader.lazy_load()

See the full `Document Loader`_ tutorial.

.. _`Document Loader`: https://github.com/googleapis/langchain-google-memorystore-redis-python/blob/main/docs/document_loader.ipynb

Chat Message History Usage

Use ChatMessageHistory to store messages and provide conversation history to LLMs.

.. code:: python

from langchain_google_memorystore_redis import MemorystoreChatMessageHistory

history = MemorystoreChatMessageHistory(
    client=redis_client,
    session_id="my-session_id"
)

See the full Chat Message History_ tutorial.

.. _Chat Message History: https://github.com/googleapis/langchain-google-memorystore-redis-python/blob/main/docs/chat_message_history.ipynb

Contributions



Contributions to this library are always welcome and highly encouraged.

See `CONTRIBUTING`_ for more information how to get started.

Please note that this project is released with a Contributor Code of Conduct. By participating in
this project you agree to abide by its terms. See `Code of Conduct`_ for more
information.

.. _`CONTRIBUTING`: https://github.com/googleapis/langchain-google-memorystore-redis-python/blob/main/CONTRIBUTING.md
.. _`Code of Conduct`: https://github.com/googleapis/langchain-google-memorystore-redis-python/blob/main/CODE_OF_CONDUCT.md

License
-------

Apache 2.0 - See
`LICENSE <https://github.com/googleapis/langchain-google-memorystore-redis-python/blob/main/LICENSE>`_
for more information.

Disclaimer
----------

This is not an officially supported Google product.

googleapis / langchain-google-memorystore-redis-python

readme

Memorystore for Redis for LangChain

Quick Start