Integrate Tavily and MongoDB
Connect Tavily and MongoDB nodes in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
Node stack
Supported Tavily and MongoDB Nodes
Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI
Tavily - Search
Tavily Search is a robust search API tailored specifically for LLM Agents. It seamlessly integrates with diverse data sources to ensure a superior, relevant search experience. [More information and API here](https://docs.tavily.com/docs/tavily-api/introduction) Features: - Curated Results: Provides top-tier results sorted by relevance across multiple sources. - Speed & Efficiency: Optimized for performance, delivering real-time results. - Customizable: Easily refine search results based on various criteria. - Easy Integration: Simple to integrate with existing applications.
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.
Quick start
How to integrate Tavily and MongoDB
Step 1 — Add the nodes to your workflow
Create a new workflow in BuildShip, click “Add node”, and select the Tavily and MongoDB 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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