Integrate Google Cloud Storage and Meilisearch
Connect Google Cloud Storage and Meilisearch nodes in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
Node stack
Supported Google Cloud Storage and Meilisearch Nodes
Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI
Create File
Create a file with the given content, creating the folder if it doesn't exist
Delete File
Checks if a file exists in your GCP storage bucket and deletes it
Delete GCP Folder
Deletes a folder in GCP Storage if it exists
File Rename
Checks if a file exists at a given path in GCP storage and renames it
Generate Public Download URL
Generate a publicly accessible download URL from a Google Cloud Storage file path.
List GCP Storage Files
List files in the specified GCP storage bucket directory
Move File
Checks if a file exists in the Google Cloud Storage and if it does, moves it to a different location.
Move Folder
Check if a folder exists in the GCP storage and move it along with its contents to a different path.
Rename GCP Folder
Renames a given folder in Google Cloud Storage if it exists.
Upload Base64 File
Uploads a Base64 file to Google Cloud Storage and returns the public URL
Upload File from External URL
Uploads a file from an external URL to GCP Storage and returns its public URL
Upload Text to File
Uploads a text content to a specified GCP storage bucket and returns the file's public URL
Zip GCP Folder
Zips an existing folder in GCP storage and returns a download url.
Add Document
Add a single document to MeiliSearch. Accepts a JSON object representing the document and adds it to the index
Add Documents
Add a list of documents to MeiliSearch index.
Delete Document
Delete a document from a Meilisearch index.
Full Text Search
Performs a full text search on a Meilisearch index
Get Document
Retrieve a document from a Meilisearch index using the given Document ID.
Hybrid Search
Performs a hybrid search combining full-text and attribute-based filtering, returning a JSON object or an array of them. For more details on using vector search in MeiliSearch, visit the [official documentation](https://www.meilisearch.com/docs/learn/experimental/vector_search#using-vector-search).
Update Document
Update a single document in MeiliSearch. Accepts a JSON object representing the document and updates it.
Update Documents
Update multiple documents in MeiliSearch by sending an array of JSON objects.
Update Synonyms
Update the synonyms for any index in your MeiliSearch instance
Quick start
How to integrate Google Cloud Storage and Meilisearch
Step 1 — Add the nodes to your workflow
Create a new workflow in BuildShip, click “Add node”, and select the Google Cloud Storage and Meilisearch 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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