Use Cases
- Automate the extraction of article titles and content from web pages.
- Store and retrieve essay content in a vector database for quick access.
- Utilize AI models to generate embeddings for efficient information retrieval.
How It Works
Manually trigger the workflow to start the process. Fetch the list of essays from the specified URL. Extract essay titles and URLs from the fetched HTML content. Retrieve the full text of each essay using the extracted URLs. Generate embeddings for the essay content using OpenAI models. Store the embeddings in the Milvus vector store for future retrieval.
Setup Steps
- 1Import the workflow into n8n.
- 2Set up a Milvus server and create a collection named 'my_collection'.
- 3Configure OpenAI credentials for embedding generation.
- 4Run the workflow to start extracting and storing content.
Apps Used
OpenAI
Milvus
Categories
Target Roles
Industries
Tags
#ai content generation
#text processing
#workflow management