Integrate Typesense and Meilisearch to automate workflows with scalable backend
Connect Typesense 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 Typesense and Meilisearch
Popular Templates With Typesense and Meilisearch
Explore our popular Google Sheets & templates below. Click. Remix. Ship!
Node stack
Supported Triggers & Actions
Typesense NODES
Add Document
Creates or uses an existing Typesense collection to insert a document, utilizing provided schema and authentication details. [TypeSense API](https://typesense.org/docs/latest/api/)
Add Documents
Creates or uses an existing Typesense collection to insert documents, utilizing provided schema and authentication details. [TypeSense API](https://typesense.org/docs/latest/api/)
Create Collection
Create a new Typesense collection with the specified schema
Delete Document
Delete a document from a Typesense collection.
Full Text Search
Performs a full text search on a specified collection in Typesense.
Geo Search
Performs a geo-location based search in Typesense using specified parameters.
Get Document
Retrieve a document from a Typesense collection using the given Document ID.
Update Document
Creates or uses an existing Typesense collection to update documents, utilizing provided schema and authentication details. [TypeSense API](https://typesense.org/docs/latest/api/)
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Vector Search
Perform a vector search in a Typesense collection and return the results.
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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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