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llama-index readers firestore integration

Project description

Firestore Loader

This loader loads from a Firestore collection or a specific document from Firestore. The loader assumes your project already has the google cloud credentials loaded. To find out how to set up credentials, see here.

Usage

To initialize the loader, provide the project-id of the google cloud project.

Initializing the reader

from llama_index import download_loader

FirestoreReader = download_loader("FirestoreReader")
reader = FirestoreReader(project_id="<Your Project ID>")

Loading Data from a Firestore Collection

Load data from a Firestore collection with the load_data method: The collection path should include all previous documents and collections if it is a nested collection.

documents = reader.load_data(collection="foo/bar/abc/")

Loading a Single Document from Firestore

Load a single document from Firestore with the load_document method:

document = reader.load_document(document_url="foo/bar/abc/MY_DOCUMENT")

Note: load_data returns a list of Document objects, whereas load_document returns a single Document object.

This loader is designed to be used as a way to load data into LlamaIndex and/or subsequently used as a Tool in a LangChain Agent. See here for examples.

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llama_index_readers_firestore-0.1.3.tar.gz (3.0 kB view hashes)

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