Integrate OpenAI and Firestore
Connect OpenAI and Firestore nodes in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
Node stack
Supported OpenAI and Firestore Nodes
Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI
Fetch OpenAI File
Generates a readable stream for a file stored in OpenAI Storage. Return this stream using a 'Return' node to receive it through an API endpoint (to download the file, write it to the file system, etc.)
Generate Embeddings
Generate embeddings for a given content using OpenAI text-embedding-ada-002 model
GPT-4 Vision
Use GPT-4 Vision to ask questions about images.
Image Generator
Converts text to Base64 image using OpenAI's DALL·E models.
JSON Generator
Generates text based on a given user and system prompt and always returns a JSON object using the OpenAI GPT (Turbo) APIs.
LLM Extract
Extract structured data from any text input.
LLM Extract URL
Extract structured data from any web page.
Multi-Image GPT-4 Vision
Analyses multiple images using the OpenAI GPT-4 Vision model.
Neighbor Search
Find the nearest neighbors for a given search query using OpenAI embeddings
OpenAI Assistant
Add different script nodes and let the AI Assistant automatically choose which to execute based on the input. Built to work with OpenAI Assistants API V2.
OpenAI Assistant (Stream Response)
Add different script nodes and let the AI Assistant automatically choose which to execute based on the input. The node returns a streamed text response (meant to be returned back to the client) and the thread ID (to track the conversation). Built to work with OpenAI Assistants API.
Stream Response
Send a chat message to OpenAI and return the response stream. --- If you plan on sending this stream back to the client as the response, you may want to consider adding a **Set Response Header** node following this node (and before the return node) with the key set to `content-type` and the value set to `text/plain`, to make it easier for the client to figure out how to handle the stream.
Text Generator
Generates text using OpenAI API for a given user and system prompt
Text to Speech
Converts text to speech using OpenAI API and returns audio in Base64.
Whisper Speech To Text
Convert audio/speech to text using OpenAI's Whisper API.
Add Object to Firestore Array
Adds an object to an existing array in a Firestore document
Collection Query
Get documents of a query in Firestore with multiple filters (with support for document reference).
Create Document
Creates or updates a document in a specified Firestore collection (with document reference field type support).
Delete Firestore Document
Delete a document from a Firestore collection
Firestore Document Count
Get the count of documents in a collection for a given filter
Firestore Field Average
This is blank script node to help you get started. [Full Documentation](https://docs.buildship.com/core-nodes/script).
Firestore Field Sum
Sum of field in collection for given filter
Firestore Query Count
Get server count of a query in Firestore with multiple filters
Get Document Field Value
Fetches a specific field value from a document in a Firestore collection
Get Firestore Document
Fetch a document from Firestore by its collection name and ID
Get User Data With Email
Fetch user data from Firebase Auth based given their email
Update Document
Updates an entire Firestore document with a given object
Update Field Value
Updates a field value in a Firestore document with a given object
Quick start
How to integrate OpenAI and Firestore
Step 1 — Add the nodes to your workflow
Create a new workflow in BuildShip, click “Add node”, and select the OpenAI and Firestore actions you want to use.
Step 2 — Configure each node
Go to each node to authenticate (or add your API key) and fill in the required parameters.
Step 3 — Connect the nodes
Each node in BuildShip can connect to others by using their output variables. When you reference a variable from one node in another, BuildShip automatically links them in the workflow.
Step 4 — Test your workflow
Define your starting data in the Inputs node and choose what to do with the result in the Flow Output node. Finally, run a test to see your workflow in action.
blog posts & tutorials
Recommended Reads
Below are recommneded blogs that will help in your journey
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