Integrate Replicate and Meilisearch to automate workflows with scalable backend
Connect Replicate 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 Replicate and Meilisearch
Popular Templates With Replicate and Meilisearch
Explore our popular Google Sheets & templates below. Click. Remix. Ship!
Node stack
Supported Triggers & Actions
Replicate NODES
Answer Image Questions
Answers questions about images using the Replicate model
Background Remover
Remove the background from images using Replicate API
Face Restoration
Performs practical face restoration algorithm for old photos or AI-generated faces using Replicate
Face Swap
Swaps faces using replicate's yan-ops/face_swap model.
Image Super-Resolution and Restoration
Performs a AI Photorealistic Image Super-Resolution and Restoration using Replicate
Llama 2 Chat
Llama 2 for chat completion
Music Generator
Uses Replicate's music-gen model to generate music based on a user prompt.
Replicate Client
A generic Replicate Client to use any Replicate model.
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Replicate Llama Text Generator
Uses Replicate Llama model to generate text based on a provided prompt and system prompt while applying various text generation settings.
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Stability AI Image Generation
Text to image generation using Stability AI's sdxl model that creates beautiful 1024x1024 images
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Stability AI Text Generation
Generate text using the Stability AI 7 billion parameter language model
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Upscale Image
Performs Real-ESRGAN with optional face correction and adjustable upscale
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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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