Firebase is a comprehensive app development platform that provides a suite of tools and services for building, testing, and deploying mobile and web applications. Firestore is a NoSQL document database that is part of the Firebase platform, providing a flexible, scalable database for mobile, web, and server development.
๐Ÿ”— Connect and Use FirebaseFirestore
1. ๐Ÿ”‘ Connect your FirebaseFirestor
2. โœ… Select an action
3. ๐Ÿš€ Go live with the agent
What do you want to do?

API actions for FirebaseFirestore for AI assitants/agents

Language
JS
PYTHON
Framework

Create Document

Creates a new document in a specified Firestore collection.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_DOCUMENT])

Update Document

Updates an existing document in a Firestore collection.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPDATE_DOCUMENT])

Delete Document

Deletes a specific document from a Firestore collection.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DELETE_DOCUMENT])

Get Document

Retrieves a specific document from a Firestore collection.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GET_DOCUMENT])

Query Documents

Queries documents in a Firestore collection based on specified criteria.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.QUERY_DOCUMENTS])

Add Field To Document

Adds a new field to an existing document in Firestore.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ADD_FIELD_TO_DOCUMENT])

Remove Field From Document

Removes a specific field from a document in Firestore.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.REMOVE_FIELD_FROM_DOCUMENT])

Batch Write

Performs multiple write operations as a single atomic unit.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.BATCH_WRITE])

Create Collection

Creates a new collection in Firestore.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_COLLECTION])

Delete Collection

Deletes an entire collection and all its documents from Firestore.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DELETE_COLLECTION])

Set Document

Creates or replaces a document with the specified data.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SET_DOCUMENT])

Increment Field

Increments a numeric field in a Firestore document by a specified amount.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.INCREMENT_FIELD])

Array Union

Adds elements to an array field in a Firestore document.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ARRAY_UNION])

Array Remove

Removes elements from an array field in a Firestore document.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ARRAY_REMOVE])

Get Collection

Retrieves all documents in a specified Firestore collection.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GET_COLLECTION])

Document Created

Triggers when a new document is created in a specified Firestore collection.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_CREATED])

Document Updated

Triggers when an existing document is updated in a Firestore collection.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_UPDATED])

Document Deleted

Triggers when a document is deleted from a Firestore collection.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_DELETED])

Document Written

Triggers on any write operation (create, update, or delete) in a Firestore collection.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_WRITTEN])

Query Results Changed

Triggers when the results of a specified query change in Firestore.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.QUERY_RESULTS_CHANGED])

Field Value Changed

Triggers when a specific field's value changes in a Firestore document.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.FIELD_VALUE_CHANGED])

Document Field Added

Triggers when a new field is added to a document in Firestore.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_FIELD_ADDED])

Document Field Removed

Triggers when a field is removed from a document in Firestore.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_FIELD_REMOVED])

Collection Empty

Triggers when a Firestore collection becomes empty (all documents deleted).
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.COLLECTION_EMPTY])

Document Count Threshold

Triggers when the number of documents in a collection reaches a specified threshold.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_COUNT_THRESHOLD])

Scheduled Query

Triggers a specified Firestore query at scheduled intervals.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SCHEDULED_QUERY])

Document Attribute Matches

Triggers when a document's attribute matches a specified condition.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_ATTRIBUTE_MATCHES])

Collection Created

Triggers when a new collection is created in Firestore.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.COLLECTION_CREATED])

Collection Deleted

Triggers when a collection is deleted from Firestore.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.COLLECTION_DELETED])

Document Snapshot

Triggers to capture a snapshot of a document at a specific point in time.
from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DOCUMENT_SNAPSHOT])

Frequently asked questions

What is Composio.dev?

Composio.dev is a cutting-edge framework for building AI applications, designed to make the process of developing AI solutions super easy and fun! It's a collection of powerful tools and libraries that simplify the process of creating AI applications, allowing you to focus on the creative aspects of your project without getting bogged down by the technical details.

How does Composio.dev support FirebaseFirestore?

Composio.dev seamlessly integrates with FirebaseFirestore, making it a breeze to leverage its capabilities within the Composio.dev platform. You can use FirebaseFirestore to call functions on various platforms like Google, GitHub, and others, allowing you to incorporate different services into your AI applications with ease. It also supports user login via OAuth2 and can work with other popular frameworks such as LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with FirebaseFirestore and langchain_python?

When using FirebaseFirestore and langchain_python, you have access to a wide range of state-of-the-art language models, including GPT-4o (OpenAI), GPT-3.5 (OpenAI), GPT-4 (OpenAI), Claude (Anthropic), PaLM (Google), LLaMA and LLaMA 2 (Meta), Gemini, and many others. This flexibility allows you to choose the model that best suits your specific use case, whether you're building a chatbot, a content creation tool, or any other AI-powered application. You can experiment with different models and find the one that delivers the best performance for your project.

How can I integrate FirebaseFirestore with langchain_python?

Integrating FirebaseFirestore with langchain_python is super easy with Composio.dev! You can use the Composio.dev API to call functions from both FirebaseFirestore and langchain_python, allowing you to tap into their capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with the language you're most comfortable with and integrate these powerful tools into your projects seamlessly.

What is the pricing for FirebaseFirestore and langchain_python?

Both FirebaseFirestore and langchain_python are completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes them accessible for developers and organizations of all sizes, whether you're a student working on a personal project or a startup building the next big thing. You can get started with these powerful tools without worrying about breaking the bank.

What kind of authentication is supported for FirebaseFirestore and langchain_python?

FirebaseFirestore and langchain_python support OAuth2 authentication, ensuring secure and authorized access to their functionalities. You can use the Composio.dev API to handle authentication and call functions from both FirebaseFirestore and langchain_python seamlessly. The SDK is available in Python, JavaScript, and TypeScript for your convenience, making it easy to integrate authentication into your projects and keep your users' data safe and secure.

Can I add FirebaseFirestore to my project?

Absolutely! You can easily incorporate FirebaseFirestore into your project by utilizing the Composio.dev API. This API allows you to call functions from both FirebaseFirestore and langchain_python, enabling you to leverage their capabilities within your application. The SDK is available in Python, JavaScript, and TypeScript to facilitate integration, so you can work with the language you're most comfortable with and add these powerful tools to your project with ease.

What is the accuracy of FirebaseFirestore and langchain_python?

FirebaseFirestore and langchain_python are designed to provide highly accurate and reliable results, ensuring that your AI applications perform at their best. The integration with Composio.dev ensures precise function calls, enabling you to build robust and powerful AI applications with confidence. The comprehensive framework and the ability to leverage state-of-the-art models ensure reliable and accurate outcomes for your AI development needs, whether you're working on a chatbot, a content creation tool, or any other AI-powered project.

What are some common use cases for FirebaseFirestore and langchain_python?

FirebaseFirestore and langchain_python can be used for a wide range of AI applications, making them versatile tools for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. They're particularly useful for building chatbots, virtual assistants, content creation tools, and other AI-powered applications that can help you automate tasks, engage with users, and create compelling content. Whether you're working on a personal project or building a product for your startup, these tools can help you bring your ideas to life.

How does FirebaseFirestore handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and FirebaseFirestore takes these issues seriously. It follows industry best practices and adheres to strict data protection regulations, ensuring that your data is kept safe and secure. FirebaseFirestore provides robust security measures, such as encryption and access controls, to ensure the confidentiality and integrity of your data. You can rest assured that your sensitive information is protected when using FirebaseFirestore for your AI development needs.

Can I customize FirebaseFirestore and langchain_python for my specific needs?

Absolutely! FirebaseFirestore and langchain_python are highly customizable and extensible, allowing you to tailor their functionality, models, and configurations to meet your specific requirements. Whether you're building a chatbot, a content creation tool, or any other AI-powered application, you can customize these tools to fit your unique needs. Additionally, Composio.dev provides a flexible platform for integrating and orchestrating various AI tools and services, enabling you to create custom AI solutions that are tailored to your project.

What kind of support and documentation is available for FirebaseFirestore and langchain_python?

FirebaseFirestore and langchain_python have comprehensive documentation and a supportive community, making it easy for you to get started and find answers to your questions. Composio.dev also provides extensive resources, including tutorials, guides, and a dedicated support team to assist you throughout your AI development journey. Whether you're a beginner or an experienced developer, you'll have access to the resources you need to make the most of these powerful tools.
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