

Integrate BuildShip Database and Meilisearch to automate workflows with scalable backend
Connect BuildShip Database and Meilisearch nodes to in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
Getting Started
How To Connect BuildShip Database and Meilisearch
Popular Templates With BuildShip Database and Meilisearch
Explore our popular Google Sheets & templates below. Click. Remix. Ship!
Node stack
Supported Triggers & Actions
BuildShip Database NODES

Add Object to Array
Adds an object to an existing array in a Firestore document

BuildShip Document Count
Get the count of documents in a collection for a given filter

Collection Query
Get documents of a query in Firestore with multiple filters. See [documentation](https://docs.buildship.com/basics/buildship-tables#querying-collection) for full details.

Create Document
Creates or updates a document in a specified Firestore collection (with Document Reference field type support).

Delete Document
Delete a document from a BuildShip's Firestore collection

Field Average
Average of field in collection for given filter

Field Sum
Sum of field in collection for given filter

Get Document
Fetch a document from BuildShip's Firestore DB by its collection name and ID
script

Get Field Value
Fetches a specific field value from a document in a BuildShip's Firestore collection
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Query Count
Get server count of a query in Firestore with multiple filters
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Update Field Value
Updates a field value in BuildShip's Firestore document with a given object
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Meilisearch NODES

Add Document
Add a single document to MeiliSearch. Accepts a JSON object representing the document and adds it to the index
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Add Documents
Add a list of documents to MeiliSearch index.
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Delete Document
Delete a document from a Meilisearch index.
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Full Text Search
Performs a full text search on a Meilisearch index
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Get Document
Retrieve a document from a Meilisearch index using the given Document ID.
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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).
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Update Document
Update a single document in MeiliSearch. Accepts a JSON object representing the document and updates it.
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Update Documents
Update multiple documents in MeiliSearch by sending an array of JSON objects.
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Update Synonyms
Update the synonyms for any index in your MeiliSearch instance
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Blog posts & Tutorials
Recommended
Reads
Below are recommneded blogs that will help in your journey
Support
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