/

OpenAI

&

Meilisearch

Integrate OpenAI and Meilisearch

Connect OpenAI and Meilisearch nodes in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!

Node stack

Supported OpenAI and Meilisearch Nodes

Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI

Fetch OpenAI File

Generates a readable stream for a file stored in OpenAI Storage. Return this stream using a 'Return' node to receive it through an API endpoint (to download the file, write it to the file system, etc.)

Generate Embeddings

Generate embeddings for a given content using OpenAI text-embedding-ada-002 model

GPT-4 Vision

Use GPT-4 Vision to ask questions about images.

Image Generator

Converts text to Base64 image using OpenAI's DALL·E models.

JSON Generator

Generates text based on a given user and system prompt and always returns a JSON object using the OpenAI GPT (Turbo) APIs.

LLM Extract

Extract structured data from any text input.

LLM Extract URL

Extract structured data from any web page.

Multi-Image GPT-4 Vision

Analyses multiple images using the OpenAI GPT-4 Vision model.

Neighbor Search

Find the nearest neighbors for a given search query using OpenAI embeddings

OpenAI Assistant

Add different script nodes and let the AI Assistant automatically choose which to execute based on the input. Built to work with OpenAI Assistants API V2.

OpenAI Assistant (Stream Response)

Add different script nodes and let the AI Assistant automatically choose which to execute based on the input. The node returns a streamed text response (meant to be returned back to the client) and the thread ID (to track the conversation). Built to work with OpenAI Assistants API.

Stream Response

Send a chat message to OpenAI and return the response stream. --- If you plan on sending this stream back to the client as the response, you may want to consider adding a **Set Response Header** node following this node (and before the return node) with the key set to `content-type` and the value set to `text/plain`, to make it easier for the client to figure out how to handle the stream.

Text Generator

Generates text using OpenAI API for a given user and system prompt

Text to Speech

Converts text to speech using OpenAI API and returns audio in Base64.

Whisper Speech To Text

Convert audio/speech to text using OpenAI's Whisper API.

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.

Update Synonyms

Update the synonyms for any index in your MeiliSearch instance

Quick start

How to integrate OpenAI and Meilisearch

Step 1 — Add the nodes to your workflow

Create a new workflow in BuildShip, click “Add node”, and select the OpenAI and Meilisearch actions you want to use.

Step 2 — Configure each node

Go to each node to authenticate (or add your API key) and fill in the required parameters.

Step 3 — Connect the nodes

Each node in BuildShip can connect to others by using their output variables. When you reference a variable from one node in another, BuildShip automatically links them in the workflow.

Step 4 — Test your workflow

Define your starting data in the Inputs node and choose what to do with the result in the Flow Output node. Finally, run a test to see your workflow in action.

blog posts & tutorials

Recommended Reads

Below are recommneded blogs that will help in your journey