Firestore for LangChain
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Client Library Documentation_Product Documentation_
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:target: https://pypi.org/project/langchain-google-firestore/
.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/langchain-google-firestore/latest
.. _Product Documentation: https://cloud.google.com/firestore
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 Cloud Firestore 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 Cloud Firestore API.: https://console.cloud.google.com/flows/enableapi?apiid=firestore.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 >= 3.9
Mac/Linux
^^^^^^^^^
.. code-block:: console
pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install langchain-google-firestore
Windows
^^^^^^^
.. code-block:: console
pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install langchain-google-firestore
Vector Store Usage
Use a vector store to store embedded data and perform vector search.
.. code-block:: python
from langchain_google_firestore import FirestoreVectorStore
from langchain_google_vertexai import VertexAIEmbeddings
embedding = VertexAIEmbeddings(model_name="textembedding-gecko@003")
store = FirestoreVectorStore(
collection="VectorStore",
embedding=embedding
)
See the full Vector Store_ tutorial.
.. _Vector Store: https://github.com/googleapis/langchain-google-firestore-python/blob/main/docs/vectorstores.ipynb
Document Loader Usage
Use a document loader to load data as LangChain ``Document``\ s.
.. code-block:: python
from langchain_google_firestore import FirestoreLoader
loader = FirestoreLoader("Collection")
docs = loader.lazy_load()
See the full `Document Loader`_ tutorial.
.. _`Document Loader`: https://github.com/googleapis/langchain-google-firestore-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_firestore import FirestoreChatMessageHistory
history = FirestoreChatMessageHistory(
session_id="my-session-id",
collection="HistoryMessages"
)
See the full Chat Message History_ tutorial.
.. _Chat Message History: https://github.com/googleapis/langchain-google-firestore-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-firestore-python/blob/main/CONTRIBUTING.md
.. _`Code of Conduct`: https://github.com/googleapis/langchain-google-firestore-python/blob/main/CODE_OF_CONDUCT.md
License
-------
Apache 2.0 - See
`LICENSE <https://github.com/googleapis/langchain-google-firestore-python/blob/main/LICENSE>`_
for more information.
Disclaimer
----------
This is not an officially supported Google product.