Integrate Meilisearch and Pinecone to automate workflows with scalable backend

Connect Meilisearch and Pinecone 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 Pinecone

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.

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Update Synonyms

Update the synonyms for any index in your MeiliSearch instance

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Pinecone NODES

Delete Vectors by ID

Deletes vectors by their id from a specified namespace

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Query Vector DB

Queries vectors in the Pinecone database index

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Upsert to Index

Creates a new Pinecone index if it does not already exist and upserts the given record.

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blog posts & tutorials

Recommended Reads

Below are recommneded blogs that will help in your journey