Integrate MongoDB and Hugging Face
Connect MongoDB and Hugging Face nodes in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
Node stack
Supported MongoDB and Hugging Face Nodes
Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI
MongoDB Trigger
Trigger a workflow on data changes in your MongoDB database. Parse the incoming data payload from MongoDB and create a workflow connected to other apps. Check out the [Full Documentation](https://docs.buildship.com/trigger-nodes/mongodb-trigger) on how connect to your MongoDB project.
Delete Document
Deletes a document from a specified collection in MongoDB by document ID and returns the operation response.
Fetch Document
Fetches and returns the entire document data from a MongoDB collection based on the given document ID.
Full Text Search
This performs a full-text search in a specified MongoDB collection, conducts the search, returns matched documents. To enable full-text search (FTS) in MongoDB, follow this [guide](https://docs.buildship.com/tutorials/mongodb-search#full-text-search) on setting up MongoDB Search Index.
Hybrid Search
This performs a hybrid search in a specified MongoDB collection, conducts the search, returns matched documents. To enable semantic search in MongoDB, follow this [guide](https://docs.buildship.com/tutorials/mongodb-search#hybrid-search) on setting up search indexes.
Insert Document
Inserts the given data into a MongoDB collection and returns the ids of the inserted documents.
Query Collection
Queries for multiple documents in a MongoDB collection using connection string, database name, collection name, query, sort, and projection.
Semantic Search
This performs a semantic search in a specified MongoDB collection, conducts the search, returns matched documents. To enable semantic search in MongoDB, follow this [guide](https://docs.buildship.com/tutorials/mongodb-search#semantic-search) on setting up vector search index.
Update Document
Updates a specific document in a MongoDB collection using the updateOne function and returns the operation result.
Caption Image
Generate caption for the image using Hugging Face's [Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large) model for image captioning pretrained on COCO dataset - base architecture (with ViT large backbone).
Image Classification
Get classification labels for your image using Hugging Face's [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) model which is a transformer encoder model (BERT-like) pretrained on a large collection of images in a supervised fashion, namely ImageNet-21k, at a resolution of 224x224 pixels. Next, the model was fine-tuned on ImageNet (also referred to as ILSVRC2012), a dataset comprising 1 million images and 1,000 classes, also at resolution 224x224.
Text Summarization
Summarize long text using Hugging Face's [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) model which is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.
Text-To-Image
Generate image from text, using Hugging Face's [openskyml/dalle-3-xl](https://huggingface.co/openskyml/dalle-3-xl) test model very similar to Dall•E 3.
Text-To-Music
Generate music from text using Hugging Face's [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) model capable of generating high-quality music samples conditioned on text descriptions or audio prompts.
Quick start
How to integrate MongoDB and Hugging Face
Step 1 — Add the nodes to your workflow
Create a new workflow in BuildShip, click “Add node”, and select the MongoDB and Hugging Face 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
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