Integrate Meilisearch and Postgres to automate workflows with scalable backend
Connect Meilisearch and Postgres 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 Meilisearch and Postgres
Popular Templates With Meilisearch and Postgres
Explore our popular Google Sheets & templates below. Click. Remix. Ship!
Node stack
Supported Triggers & Actions
Meilisearch NODES
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.
script
Update Synonyms
Update the synonyms for any index in your MeiliSearch instance
script
Postgres NODES
Delete Row
Deletes a row from a specified table in a Postgres database
script
Fetch Table Data
Fetch data from a Postgres DB
script
Fetch Table Schema
Fetch the schema of a specific table in a PostgreSQL database
script
Insert Data
Inserts data into a specified table in a Postgres database securely
script
Update Row Data
Updates a specific row in a Postgres database table securely
script
Blog posts & Tutorials
Recommended
Reads
Below are recommneded blogs that will help in your journey
Support
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